Udacity Machine Learning Engineer Nanodegree | FD904D253675E73D22F92E2375C66F4C3D419D0A

Udacity Machine Learning Engineer Nanodegree

Name	Udacity - Machine Learning Engineer Nanodegree	DOWNLOAD Copy Link
Total Size	13.9 GB
Total Files	1721
Hash	FD904D253675E73D22F92E2375C66F4C3D419D0A

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Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/6. P4 Train a Smartcab to Drive/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/2. Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
4.1 Tasks - 2.txt	0.1 KB
4. Tasks - 2 - Udacity 2016-04-27 21-50-24.jpeg	271.2 KB
3. Tasks - 1 - Udacity 2016-04-27 21-49-22.jpeg	425.5 KB
1. Project Description - 1 - Udacity 2016-04-27 21-48-34.jpeg	352.6 KB
1.1 Project Description - 1.txt	0.1 KB
3.1 Tasks - 1.txt	0.3 KB
6. P4- Train a Smartcab to Drive - Udacity 2016-04-27 21-51-31.jpeg	123.9 KB
2. Project Description - 2 - Udacity 2016-04-27 21-49-10.jpeg	229.2 KB
5. Evaluation & Submission - Udacity 2016-04-27 21-50-46.jpeg	211.0 KB
5.1 Evaluation & Submission.txt	0.1 KB
/.../1. Markov Decision Processes/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/.../5. More Game Theory/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
4. Zero Sum Stochastic Games - Georgia Tech - Machine Learning.mp4	47.0 MB
3. Models and Stochastic Games Quiz - Georgia Tech - Machine Learning.mp4	13.9 MB
3.2 Models and Stochastic Games Quiz Solution - Georgia Tech - Machine Learning.mp4	23.6 MB
6. General Sum Games - Georgia Tech - Machine Learning.mp4	43.5 MB
5. Zero Sum Stochastic Games Two - Georgia Tech - Machine Learning.mp4	26.7 MB
2. Stochastic Games - Georgia Tech - Machine Learning.mp4	19.9 MB
7. Lots of Ideas - Georgia Tech - Machine Learning.mp4	29.2 MB
1. Stochastic Games and Multiagent RL - Georgia Tech - Machine Learning.mp4	63.4 MB
/.../2. Markov Decision Processes/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
12. Sequences of Rewards One - Georgia Tech - Machine Learning.mp4	93.5 MB
22. Finding Policies Three - Georgia Tech - Machine Learning.mp4	50.9 MB
6. Markov Decision Processes Two - Georgia Tech - Machine Learning.mp4	37.5 MB
11.1 More About Rewards - 3 - Udacity 2016-04-27 21-14-57.jpeg	237.2 KB
4. The World II Quiz - Georgia Tech - Machine Learning.mp4	18.0 MB
18. Policies Two - Georgia Tech - Machine Learning.mp4	44.3 MB
8. Markov Decision Processes Four - Georgia Tech - Machine Learning.mp4	66.3 MB
23. Wrapping up - Georgia Tech - Machine Learning.mp4	43.2 MB
21.1 Finding Policies - 3 - Udacity 2016-04-27 21-17-31.jpeg	239.9 KB
6. Markov Decision Processes - 1.mkv	26.3 MB
4.3 The World II Quiz Solution - Georgia Tech - Machine Learning.mp4	44.3 MB
21. Iterations Quiz - Georgia Tech - Machine Learning.mp4	12.0 MB
4.2 The World - 2 (1).txt	0.1 KB
14.2 Sequences of Rewards Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	26.3 MB
20. Finding Policies Two - Georgia Tech - Machine Learning.mp4	46.4 MB
3.2 The World Quiz Solution - Georgia Tech - Machine Learning.mp4	9.6 MB
3. The World Quiz - Georgia Tech - Machine Learning.mp4	21.8 MB
20.1 Finding Policies - 2.txt	0.1 KB
14. Sequences of Rewards Quiz - Georgia Tech - Machine Learning.mp4	10.4 MB
4.2 The World - 2.txt	0.1 KB
17. Policies - Georgia Tech - Machine Learning.mp4	45.5 MB
1. Reinforcement Learning Introduction - Georgia Tech - Machine Learning.mp4	4.1 MB
21.2 Iterations Quiz Solution - Georgia Tech - Machine Learning.mp4	72.3 MB
16. Assumptions - Georgia Tech - Machine Learning.mp4	26.3 MB
4.1 The World - 2 - Udacity 2016-04-27 21-12-31.jpeg	240.0 KB
11.2 Rewards Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	81.9 MB
19. Finding Policies - Georgia Tech - Machine Learning.mp4	39.2 MB
2. Decision Making and Reinforcement Learning - Georgia Tech - Machine Learning.mp4	24.9 MB
14.1 Sequences of Rewards - 3 - Udacity 2016-04-27 21-15-49.jpeg	208.0 KB
10. More About Rewards Two - Georgia Tech - Machine Learning.mp4	50.4 MB
13. Sequences of Rewards Two - Georgia Tech - Machine Learning.mp4	13.6 MB
11. Rewards Quiz - Georgia Tech - Machine Learning.mp4	14.3 MB
15. Sequences of Rewards - Georgia Tech - Machine Learning.mp4	57.4 MB
9. More About Rewards - Georgia Tech - Machine Learning.mp4	46.2 MB
3.1 The World - 1 - Udacity 2016-04-27 21-11-50.jpeg	210.2 KB
7. Markov Decision Processes Three - Georgia Tech - Machine Learning.mp4	46.9 MB
/.../1. Markov Decision Processes/3. Reinforcement Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
13. Choosing Actions - Georgia Tech - Machine Learning.mp4	52.8 MB
4.1 API Quiz - Udacity 2016-04-27 21-30-03.jpeg	240.6 KB
4.2 API Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	46.0 MB
3. API - Georgia Tech - Machine Learning.mp4	9.8 MB
10. Learning Incrementally Quiz - Georgia Tech - Machine Learning.mp4	21.7 MB
8.1 Q Learning - Udacity 2016-04-27 21-31-49.jpeg	209.0 KB
4. API Quiz - Georgia Tech - Machine Learning.mp4	15.5 MB
9. Estimating Q From Transitions - Georgia Tech - Machine Learning.mp4	35.8 MB
16. What Have We Learned - Georgia Tech - Machine Learning.mp4	41.7 MB
2. Rat Dinosaurs - Georgia Tech - Machine Learning.mp4	28.3 MB
7. Value Function Quiz - Georgia Tech - Machine Learning.mp4	8.0 MB
7.1 Value Function Quiz - Udacity 2016-04-27 21-30-51.jpeg	215.0 KB
15. Greedy Exploration - Georgia Tech - Machine Learning.mp4	41.0 MB
5. Three Approaches to RL - Georgia Tech - Machine Learning.mp4	44.8 MB
16.1 What Have We Learned.txt	0.2 KB
11. Estimating Q From Transitions Two - Georgia Tech - Machine Learning.mp4	20.8 MB
10.1 Learning Incrementally - Udacity 2016-04-27 21-32-30.jpeg	189.9 KB
10.2 Learning Incrementally Quiz Solution - Georgia Tech - Machine Learning.mp4	20.1 MB
6. A New Kind of Value Function - Georgia Tech - Machine Learning.mp4	32.5 MB
7.2 Value Function Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	17.5 MB
12.1 Q Learning Convergence.txt	0.1 KB
14. Choosing Actions Two - Georgia Tech - Machine Learning.mp4	35.9 MB
1. Reinforcement Learning - Georgia Tech - Machine Learning.mp4	20.2 MB
12. Q Learning Convergence - Georgia Tech - Machine Learning.mp4	15.5 MB
8. Q Learning Quiz - Georgia Tech - Machine Learning.mp4	5.3 MB
8.2 Q Learning Quiz Solution - Georgia Tech - Machine Learning.mp4	18.5 MB
/.../1. Introduction to Reinforcement Learnning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
2. Reinforcement Learning What Youll Watch and Learn.mp4	10.5 MB
3. Reinforcement Learning What Youll Do.mp4	4.3 MB
1. Reinforcement Learning.mp4	13.0 MB
/.../1. Markov Decision Processes/4. Game Theory/
14.2 Lines Quiz Solution - Georgia Tech - Machine Learning.mp4	5.1 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
11. Minipoker - Georgia Tech - Machine Learning.mp4	34.4 MB
13.2 Mixed Strategy Quiz Solution - Georgia Tech - Machine Learning.mp4	23.5 MB
16. Snitch - Georgia Tech - Machine Learning.mp4	41.3 MB
13.1 Mixed Strategy - Udacity 2016-04-27 21-42-59.jpeg	215.0 KB
19. A Beautiful Equilibrium - Georgia Tech - Machine Learning.mp4	32.7 MB
9. Game Tree Quiz - Georgia Tech - Machine Learning.mp4	3.0 MB
4. A Simple Quiz - Georgia Tech - Machine Learning.mp4	6.4 MB
4.2 A Simple Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	12.3 MB
14.1 Lines - Udacity 2016-04-27 21-43-30.jpeg	197.6 KB
14. Lines Quiz - Georgia Tech - Machine Learning.mp4	6.5 MB
18. Snitch Three - Georgia Tech - Machine Learning.mp4	22.6 MB
12.2 Minipoker Tree Quiz Solution - Georgia Tech - Machine Learning.mp4	39.5 MB
5.2 Another Simple Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	35.6 MB
5.1 A Simple Game - 3 - Udacity 2016-04-27 21-40-42.jpeg	178.5 KB
3. A Simple Game - Georgia Tech - Machine Learning.mp4	52.1 MB
12.1 Minipoker Tree - Udacity 2016-04-27 21-42-31.jpeg	214.9 KB
1. Game Theory - Georgia Tech - Machine Learning.mp4	2.3 MB
17. Snitch Two - Georgia Tech - Machine Learning.mp4	50.8 MB
20.2 A Beautiful Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	28.6 MB
9.2 Game Tree Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	14.3 MB
8. Game Tree - Georgia Tech - Machine Learning.mp4	19.6 MB
6. Minimax - Georgia Tech - Machine Learning.mp4	26.2 MB
20. A Beautiful Quiz - Georgia Tech - Machine Learning.mp4	8.3 MB
9.1 Game Tree - 2 - Udacity 2016-04-27 21-41-41.jpeg	186.6 KB
21. A Beautiful Equilibrium Two - Georgia Tech - Machine Learning.mp4	19.3 MB
24.1 What Have We Learned.txt	0.2 KB
12. Minipoker Tree Quiz - Georgia Tech - Machine Learning.mp4	30.8 MB
2. What is Game Theory - Georgia Tech - Machine Learning.mp4	36.7 MB
3.1 Models & Stochastic Games - Udacity 2016-04-27 21-47-17.jpeg	215.5 KB
10. Von Neumann - Georgia Tech - Machine Learning.mp4	13.8 MB
13. Mixed Strategy Quiz - Georgia Tech - Machine Learning.mp4	22.9 MB
24. What Have We Learned - Georgia Tech - Machine Learning.mp4	50.6 MB
5. Another Simple Quiz - Georgia Tech - Machine Learning.mp4	17.6 MB
23. 2Step2Furious - Georgia Tech - Machine Learning.mp4	39.1 MB
4.1 A Simple Game - 2 - Udacity 2016-04-27 21-39-52.jpeg	224.5 KB
7. Fundamental Result - Georgia Tech - Machine Learning.mp4	36.3 MB
20.1 A Beautiful Equilibrium - 2 - Udacity 2016-04-27 21-44-51.jpeg	187.6 KB
22. The Two Step - Georgia Tech - Machine Learning.mp4	23.7 MB
15. Center Game - Georgia Tech - Machine Learning.mp4	56.9 MB
/1. Welcome to the Nanodegree/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/.../2. Get Started From Artifical Intelligence to Machine Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
14.2 Unit 3 7b Answer.mp4	3.9 MB
43.2 Unit 5 34 Answer.mp4	14.5 MB
6.Exercise- What are AI Problems- Quiz - Georgia Tech - KBAI- Part1.mp4	3.9 MB
20. Basic Data Scientist Skills - Intro to Data Science.mp4	10.9 MB
35. What fields is cognitive computing being used.mp4	79.8 MB
10.1Exercise- What is KBAI.jpeg	251.2 KB
Student Handbook - Machine Learning Engineer ND.pdf	236.9 KB
9.Foundations- The Four Schools of AI - Georgia Tech - KBAI- Part1.mp4	11.6 MB
25. Georgia Tech Machine Learning.mp4	3.7 MB
1.Introduction to Foundations.mp4	5.8 MB
11.2 Exercise- The Four Schools of AI Quiz Solution - Georgia Tech - KBAI- Part1.mp4	9.1 MB
41.1 Exercise- Spam Detection - Udacity 2016-04-19 22-01-36.jpeg	220.5 KB
2.Introduction to Artificial Intelligence.mp4	6.6 MB
32. Machine Learning in Action.mp4	6.6 MB
6.1 Exercise- What are AI Problems.jpeg	268.7 KB
44. Unit 5 35 More Linear Regression.mp4	9.4 MB
chapter01.pdf	833.5 KB
3.Conundrums in AI - Georgia Tech - KBAI- Part1.mp4	14.2 MB
45. Foundations Conclusions.mp4	5.7 MB
15. Machine Learning and Data Science.mp4	4.8 MB
6.2Exercise- What are AI Problems- Quiz Solution - Georgia Tech - KBAI- Part1.mp4	4.8 MB
23. Introduction - Intro to Machine Learning.mp4	29.8 MB
7.Exercise- AI in Practice- Watson Quiz - Georgia Tech - KBAI- Part1.mp4	10.4 MB
37.Nuts and Bolts.mp4	4.3 MB
8.What is Knowledge-Based AI- - Georgia Tech - KBAI- Part1.mp4	9.7 MB
43. Unit 5 33 Linear Regression.mp4	34.1 MB
21. Problems Solved by Data Science - Intro to Data Science.mp4	24.1 MB
16. What Is a Data Scientist- - Intro to Data Science.mp4	3.7 MB
11.Exercise- The Four Schools of AI Quiz - Georgia Tech - KBAI- Part1.mp4	1.1 MB
10.2 Exercise- What is KBAI- Quiz Solution - Georgia Tech - KBAI- Part1.mp4	6.2 MB
27. Supervised Learning - Georgia Tech - Machine Learning.mp4	18.4 MB
38.Unit 5 5 Taxonomy.mp4	37.3 MB
24. Introduction Part II - Intro to Machine Learning.mp4	18.8 MB
4.Characteristics of AI Problems - Georgia Tech - KBAI- Part1 (1).mp4	8.9 MB
14. Unit 3 7a Bayes Rule Graphically.mp4	19.7 MB
22. From AI to ML.mp4	8.9 MB
40.Unit 5 7 Occam's Razor.mp4	26.2 MB
36.Introduction.mp4	14.4 MB
42.1 Exercise- Classification vs. Regression - Udacity 2016-04-19 22-02-13.jpeg	211.7 KB
31. Reinforcement Learning - Georgia Tech - Machine Learning.mp4	39.4 MB
18. What Does a Data Scientist Do- - Intro to Data Science.mp4	5.8 MB
34.Current Problems in Healthcare.mp4	9.3 MB
10.Exercise- What is KBAI- Quiz - Georgia Tech - KBAI- Part1.mp4	3.9 MB
26. Definition of ML.mp4	26.0 MB
19. Pi Chuan - What Is Data Science- - Intro to Data Science.mp4	7.3 MB
42.1 Exercise- Classification vs. Regression - Udacity 2016-04-19 22-02-13 (1).jpeg	211.7 KB
12. Bayes Rule Intro.mp4	4.1 MB
30. Unsupervised Learning - Georgia Tech - Machine Learning.mp4	44.8 MB
13.Bayes Rule Alt.mp4	19.7 MB
14.1 Exercise- Bayes Network - Udacity 2016-04-19 21-51-15.jpeg	211.0 KB
4.Characteristics of AI Problems - Georgia Tech - KBAI- Part1.mp4	8.9 MB
7.1Exercise- AI in Practice- Watson.jpeg	261.2 KB
41.Unit 5 8 SPAM Detection.mp4	43.4 MB
42.Unit 5 31 Classification vs Regression.mp4	22.4 MB
46.Give us feedback! - Udacity 2016-04-19 22-03-50.jpeg	130.1 KB
7.2.mkv	4.7 MB
11.1 Exercise- The Four Schools of AI - Udacity 2016-04-19 21-49-35.jpeg	191.4 KB
39.Unit 5 6 Supervised Learning.mp4	31.5 MB
33.Unit 5 4 Stanley DARPA Grand Challenge.mp4	22.4 MB
5.AI Bookends and Sebastian.mp4	17.8 MB
45.2Foundations- Conclusions - Udacity 2016-04-19 22-05-55.jpeg	343.4 KB
41.2 YouTube.mkv	7.3 MB
42.2 Unit 5 32 Answer.mp4	5.6 MB
General MLND Timeline Updated 3.16.pdf	190.2 KB
29. Induction Deduction Bookends All.mp4	43.9 MB
28. Induction and Deduction - Georgia Tech - Machine Learning.mp4	29.4 MB
43.1 Exercise- Linear Regression - Udacity 2016-04-19 22-03-00.jpeg	193.0 KB
17. What Is a Data Scientist- - Intro to Data Science.mp4	8.1 MB
/.../3. MLND Program Orientation/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
5.Connecting with Your Community - Udacity 2016-04-19 22-09-23.jpeg	208.6 KB
8.1 Integrity and Mindset - Udacity 2016-04-19 22-10-15.jpeg	212.5 KB
3.2 Projects and Progress - Udacity 2016-04-19 22-08-27.jpeg	210.8 KB
12.Wrapping Up.mp4	4.3 MB
9.What happens if I move faster than the timeline.mp4	3.0 MB
2.Introduction.mp4	2.7 MB
3.1 Projects and Progress - Udacity 2016-04-19 22-07-40.jpeg	210.8 KB
10.1 How Do I Find Time for My Nanodegree- - Udacity 2016-04-19 22-10-50.jpeg	220.8 KB
1. Pre orientation.mp4	2.1 MB
4.1 Career Development Opportunities - Udacity 2016-04-19 22-08-51.jpeg	198.2 KB
11.Final Tips.mp4	9.9 MB
10. Blocking out time.mp4	10.2 MB
4.Career Development Opportunities - Udacity 2016-04-19 22-08-40.jpeg	223.7 KB
8.Integrity and Mindset.mp4	5.9 MB
6. Support from the Udacity Team - Udacity 2016-04-19 22-09-40.jpeg	209.8 KB
7.How does project submission work.mp4	5.4 MB
3.Projects and Progress.mp4	5.3 MB
/.../1. Welcome to the MLND/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
6.What is Machine Learning.mp4	8.4 MB
1.Welcome to MLND.mkv	6.1 MB
8.Applications of Machine Learning.mp4	11.6 MB
8.3Applications of Machine Learning.mp4	3.4 MB
5.Count words in Python.jpeg	295.3 KB
10.Program Outline.mp4	15.4 MB
9.Connections to GA Tech.mp4	11.0 MB
8.1.Applications of Machine Learning.jpeg	181.2 KB
2.Readiness Question.mkv	5.9 MB
11.Let's Get Started.mp4	6.6 MB
5.1.Quiz Count words in Python.jpeg	232.2 KB
4.Quiz Differentiate w.r.t. x.jpeg	227.0 KB
7.Machine Learning vs Traditional Programming.mp4	10.4 MB
5.2.Count words in Python.jpeg	243.1 KB
3. Quiz Matrix times Vector.jpeg	191.9 KB
/3. P1 Predicting Boston Housing Prices/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/.../1.Intro to Model Evaluation and Validation/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
4.Course Outline - Fitting It All Togther - Udacity 2016-04-19 22-21-29.jpeg	221.1 KB
2.Model Evaluation What Youll Watch.mp4	3.8 MB
5.Model Evaluation What Youll Do.mp4	5.1 MB
3.Model Evaluation What Youll Learn.mp4	5.2 MB
1.Introduction to Model Evaluation and Validation.mp4	4.9 MB
/.../1.Model Evaluation and Validation/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/.../3.Measures of Central Tendency/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
7.2 Mode - Uniform Distribution - Intro to Descriptive Statistics.mp4	1.5 MB
10.1 More o' Mode! - Udacity 2016-04-19 22-29-28.jpeg	216.5 KB
26.1 Use Measures of Center to Compare - Udacity 2016-04-19 22-38-46.jpeg	239.3 KB
17.1 What Can You Expect- - Udacity 2016-04-19 22-33-03.jpeg	209.3 KB
1.2Which Major- - Intro to Descriptive Statistics.mp4	5.6 MB
13.2 Iterative Procedure - Intro to Descriptive Statistics.mp4	4.1 MB
14. Helpful Symbols - Intro to Descriptive Statistics.mp4	24.6 MB
11.2 Find the Mean - Intro to Descriptive Statistics.mp4	2.1 MB
13. Iterative Procedure - Intro to Descriptive Statistics.mp4	1.8 MB
25.1 Order Measures of Center 2 - Udacity 2016-04-19 22-37-10.jpeg	185.8 KB
10. More o' Mode! - Intro to Descriptive Statistics.mp4	4.8 MB
17.2 What Can You Expect- - Intro to Descriptive Statistics.mp4	4.3 MB
19.2 Requirement for Median - Intro to Descriptive Statistics.mp4	290.4 KB
6.2 Mode - Negatively Skewed Distribution - Intro to Descriptive Statistics.mp4	691.7 KB
20.2 Find the Median - Intro to Descriptive Statistics.mp4	9.5 MB
1.Which Major- - Intro to Descriptive Statistics.mp4	6.3 MB
29.1 Formula for Location of Median - Udacity 2016-04-19 22-41-15.jpeg	195.0 KB
12. Procedure for Finding Mean - Intro to Descriptive Statistics (1).mp4	4.2 MB
10.2 More o' Mode! - Intro to Descriptive Statistics.mp4	27.7 MB
3.1Which Number to Choose- - Udacity 2016-04-19 22-25-07.jpeg	228.2 KB
28.1 Udacians' Facebook Friends - Median - Udacity 2016-04-19 22-40-36.jpeg	256.3 KB
17. What Can You Expect- - Intro to Descriptive Statistics.mp4	2.0 MB
9. Mode of Categorical Data - Intro to Descriptive Statistics.mp4	1.6 MB
21.1 Median with Outlier - Udacity 2016-04-19 22-35-18.jpeg	224.1 KB
16.1 Mean with Outlier - Udacity 2016-04-19 22-32-29.jpeg	190.8 KB
15.1 Properties of the Mean - Udacity 2016-04-19 22-31-58.jpeg	211.7 KB
29. Formula for Location of Median - Intro to Descriptive Statistics.mp4	14.3 MB
23. Measures of Center - Intro to Descriptive Statistics.mp4	12.6 MB
8. More than One Mode- - Intro to Descriptive Statistics.mp4	2.3 MB
27. Udacians' Facebook Friends - Mean - Intro to Descriptive Statistics.mp4	10.8 MB
1.1Which Major- - Udacity 2016-04-19 22-24-24.jpeg	216.0 KB
3.Which Number to Choose- - Intro to Descriptive Statistics.mp4	4.1 MB
3.2Which Number to Choose- - Intro to Descriptive Statistics.mp4	13.3 MB
8.2 More than One Mode- - Intro to Descriptive Statistics.mp4	2.6 MB
2.One Number to Describe Data - Intro to Descriptive Statistics.mp4	8.3 MB
30. Wrap Up - Measures of Center - Intro to Descriptive Statistics.mp4	6.2 MB
29.2 Formula for Location of Median - Intro to Descriptive Statistics.mp4	27.9 MB
28.2 Udacians' Facebook Friends - Median - Intro to Descriptive Statistics.mp4	13.9 MB
6.1 Mode - Negatively Skewed Distribution - Udacity 2016-04-19 22-26-53.jpeg	178.9 KB
19.1 Requirement for Median - Udacity 2016-04-19 22-33-52.jpeg	209.5 KB
31. Good Job! - Intro to Descriptive Statistics.mp4	2.0 MB
5.2 Mode of Distribution - Intro to Descriptive Statistics.mp4	1.6 MB
4.2 Mode of Dataset - Intro to Descriptive Statistics.mp4	1.1 MB
8.1 More than One Mode- - Udacity 2016-04-19 22-28-18.jpeg	167.3 KB
17.1 What Can You Expect- - Udacity 2016-04-19 22-33-03 (1).jpeg	209.3 KB
21. Median with Outlier - Intro to Descriptive Statistics.mp4	4.7 MB
9.2 Mode of Categorical Data - Intro to Descriptive Statistics.mp4	1.9 MB
13.1 Iterative Procedure - Udacity 2016-04-19 22-31-10.jpeg	226.8 KB
22.1 Find Median with Outlier - Udacity 2016-04-19 22-35-51.jpeg	214.5 KB
7.Mode - Uniform Distribution - Intro to Descriptive Statistics.mp4	5.0 MB
4. Mode of Dataset - Intro to Descriptive Statistics.mp4	2.4 MB
4.1 Mode of Dataset - Udacity 2016-04-19 22-25-40.jpeg	150.6 KB
20.Find the Median.mp4	927.7 KB
30.1 Wrap Up - Measures of Center - Udacity 2016-04-19 22-41-55.jpeg	220.1 KB
26.Use Measures of Center to Compare - Intro to Descriptive Statistics.mp4	10.8 MB
3.1Which Number to Choose- - Udacity 2016-04-19 22-25-07 (1).jpeg	228.2 KB
16. Mean with Outlier - Intro to Descriptive Statistics.mp4	1.8 MB
25.2 Order Measures of Center.mkv	4.1 MB
18. UNC - Intro to Descriptive Statistics.mp4	7.6 MB
24.2 Order Measures of Center 1 - Intro to Descriptive Statistics (1).mp4	4.6 MB
5.1Mode of Distribution - Udacity 2016-04-19 22-26-16.jpeg	205.0 KB
6. Mode - Negatively Skewed Distribution - Intro to Descriptive Statistics.mp4	3.4 MB
9.1 Mode of Categorical Data - Udacity 2016-04-19 22-28-52.jpeg	175.8 KB
30.1 Wrap Up - Measures of Center - Udacity 2016-04-19 22-41-55 (1).jpeg	220.1 KB
22. Find Median with Outlier - Intro to Descriptive Statistics.mp4	8.6 MB
21.2 Median with Outlier - Intro to Descriptive Statistics.mp4	994.3 KB
27.1 Udacians' Facebook Friends - Mean - Udacity 2016-04-19 22-39-12.jpeg	250.6 KB
12. Procedure for Finding Mean - Intro to Descriptive Statistics.mp4	4.2 MB
16.2 Mean with Outlier - Intro to Descriptive Statistics.mp4	1.1 MB
12.2 Procedure for Finding Mean - Intro to Descriptive Statistics.mp4	5.3 MB
24.2 Order Measures of Center 1 - Intro to Descriptive Statistics.mp4	4.6 MB
27.2 Udacians' Facebook Friends - Mean - Intro to Descriptive Statistics.mp4	15.0 MB
15. Properties of the Mean - Intro to Descriptive Statistics.mp4	7.0 MB
5. Mode of Distribution - Intro to Descriptive Statistics.mp4	2.3 MB
11.1 Find the Mean - Udacity 2016-04-19 22-30-02.jpeg	203.5 KB
28. Udacian's Facebook Friends.mp4	10.1 MB
7.1 Mode - Uniform Distribution - Udacity 2016-04-19 22-27-45.jpeg	173.2 KB
20.1 Find the Median - Udacity 2016-04-19 22-34-47.jpeg	211.8 KB
19. Requirement for Median - Intro to Descriptive Statistics.mp4	5.1 MB
11. Find the Mean - Intro to Descriptive Statistics.mp4	7.7 MB
22.2 Find Median with Outlier - Intro to Descriptive Statistics.mp4	3.9 MB
25. Order Measures of Center 2 - Intro to Descriptive Statistics.mp4	2.3 MB
24.1 Order Measures of Center 1 - Udacity 2016-04-19 22-36-35.jpeg	212.5 KB
15.2 Properties of the Mean - Intro to Descriptive Statistics.mp4	23.3 MB
30.2 Wrap Up - Measures of Center - Intro to Descriptive Statistics.mp4	8.1 MB
24. Order Measures of Center 1 - Intro to Descriptive Statistics.mp4	8.3 MB
12.1 Procedure for Finding Mean - Udacity 2016-04-19 22-30-38.jpeg	233.5 KB
/.../Measures of Central Tendency Subtitles/
05 - Which Number to Choose.srt	1.9 KB
13 - Mode - Uniform Distribution.srt	0.2 KB
01 - Which Major.srt	1.1 KB
47 - Use Measures of Center to Compare.srt	1.7 KB
23 - Procedure for Finding Mean.srt	0.8 KB
22 - Procedure for Finding Mean.srt	0.7 KB
37 - Find the Median.srt	1.1 KB
30 - Mean with Outlier.srt	0.2 KB
10 - Mode - Negatively Skewed Distribution.srt	0.5 KB
34 - Requirement for Median.srt	0.8 KB
55 - Wrap Up - Measures of Center.srt	1.2 KB
15 - More than One Mode.srt	0.4 KB
08 - Mode of Distribution.srt	0.4 KB
16 - Mode of Categorical Data.srt	0.3 KB
56 - Good Job.srt	0.3 KB
24 - Iterative Procedure.srt	0.3 KB
28 - Properties of the Mean.srt	2.9 KB
11 - Mode - Negatively Skewed Distribution.srt	0.1 KB
44 - Order Measures of Center 1.srt	0.7 KB
33 - UNC.srt	1.1 KB
40 - Find Median with Outlier.srt	0.6 KB
46 - Order Measures of Center 2.srt	0.5 KB
48 - Udacians Facebook Friends - Mean.srt	2.0 KB
53 - Formula for Location of Median.srt	3.3 KB
36 - Find the Median.srt	0.2 KB
50 - Udacians Facebook Friends - Median.srt	1.7 KB
29 - Mean with Outlier.srt	0.3 KB
12 - Mode - Uniform Distribution.srt	0.7 KB
49 - Udacians Facebook Friends - Mean.srt	1.6 KB
03 - One Number to Describe Data.srt	1.2 KB
18 - More o Mode.srt	0.8 KB
39 - Median with Outlier.srt	0.2 KB
45 - Order Measures of Center 2.srt	0.3 KB
07 - Mode of Dataset.srt	0.2 KB
04 - Which Number to Choose.srt	0.7 KB
51 - Udacians Facebook Friends - Median.srt	1.4 KB
38 - Median with Outlier.srt	0.5 KB
06 - Mode of Dataset.srt	0.4 KB
43 - Order Measures of Center 1.srt	1.5 KB
54 - Wrap Up - Measures of Center.srt	1.0 KB
14 - More than One Mode.srt	0.4 KB
42 - Measures of Center.srt	1.7 KB
32 - What Can You Expect.srt	0.7 KB
35 - Requirement for Median.srt	0.1 KB
09 - Mode of Distribution.srt	0.3 KB
27 - Properties of the Mean.srt	1.2 KB
41 - Find Median with Outlier.srt	0.5 KB
17 - Mode of Categorical Data.srt	0.3 KB
52 - Formula for Location of Median.srt	2.1 KB
31 - What Can You Expect.srt	0.3 KB
21 - Find the Mean.srt	0.3 KB
19 - More o Mode.srt	3.5 KB
26 - Helpful Symbols.srt	3.5 KB
02 - Which Major.srt	0.8 KB
20 - Find the Mean.srt	1.0 KB
25 - Iterative Procedure.srt	0.5 KB
/.../4. Variability of Data/
29.2 One Dimension - Intro to Descriptive Statistics.mp4	5.0 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
11. What Is an Outlier- - Intro to Descriptive Statistics.mp4	4.4 MB
33.2 SD in Words - Intro to Descriptive Statistics.mp4	12.7 MB
26.2 Sum of Squares - Intro to Descriptive Statistics.mp4	12.4 MB
23.1 Average Absolute Deviation - Udacity 2016-04-19 23-02-25.jpeg	244.2 KB
13.1 Match Boxplots - Udacity 2016-04-19 22-56-59.jpeg	231.6 KB
22.2 Absolute Deviations - Intro to Descriptive Statistics.mp4	1.1 MB
16. Measure Variability - Intro to Descriptive Statistics.mp4	8.1 MB
32.2 SD Social Networkers - Intro to Descriptive Statistics.mp4	44.3 MB
20. Equation for Average Deviation - Intro to Descriptive Statistics.mp4	3.2 MB
20.1 Equation for Average Deviation - Udacity 2016-04-19 23-00-29.jpeg	226.3 KB
26. Sum of Squares.mp4	2.6 MB
18.2 Deviation from Mean - Intro to Descriptive Statistics.mp4	3.3 MB
23. Average Absolute Deviation - Intro to Descriptive Statistics.mp4	698.9 KB
9. Q3 - Q1 - Intro to Descriptive Statistics.mp4	10.3 MB
21. Be Happy and Get Rid of Negatives - Intro to Descriptive Statistics.mp4	10.2 MB
27.1 Average Squared Deviation - Udacity 2016-04-19 23-05-25.jpeg	258.3 KB
24. Formula for Avg. Abs. Dev. - Intro to Descriptive Statistics.mp4	2.0 MB
5.2 Does Range Change- - Intro to Descriptive Statistics.mp4	7.1 MB
28.1 Avg. Squared Dev. in Words - Udacity 2016-04-19 23-06-00.jpeg	270.4 KB
33. SD in Words - Intro to Descriptive Statistics.mp4	10.7 MB
10.1 IQR - Udacity 2016-04-19 22-55-19.jpeg	211.4 KB
9.2 Q3 - Q1 - Intro to Descriptive Statistics.mp4	4.2 MB
34. Spreadsheet SD - Intro to Descriptive Statistics.mp4	7.1 MB
2.1 Should You Get an Account- - Udacity 2016-04-19 22-49-40.jpeg	215.1 KB
16.1 Measure Variability - Udacity 2016-04-19 22-58-20.jpeg	240.9 KB
37. Sample SD - Intro to Descriptive Statistics.mp4	5.0 MB
21.1 Be Happy and Get Rid of Negatives - Udacity 2016-04-19 23-01-04.jpeg	250.9 KB
12.1 Define Outlier - Udacity 2016-04-19 22-56-24.jpeg	218.1 KB
15. Problem with IQR - Intro to Descriptive Statistics.mp4	7.7 MB
24.2 Formula for Avg. Abs. Dev. - Intro to Descriptive Statistics.mp4	19.7 MB
Sample Social Networkers Salary n=100 - Lesson 4.xlsx	7.9 KB
20.2 Equation for Average Deviation - Intro to Descriptive Statistics.mp4	5.9 MB
36.1 Find Values - Udacity 2016-04-20 07-23-10.jpeg	195.9 KB
6.2 Mark Z the Outlier - Intro to Descriptive Statistics.mp4	5.2 MB
25.1 Squared Deviations - Udacity 2016-04-19 23-04-07.jpeg	232.0 KB
23.2 Average Absolute Deviation - Intro to Descriptive Statistics.mp4	1.1 MB
27. Average Squared Deviation - Intro to Descriptive Statistics.mp4	2.6 MB
6. Mark Z the Outlier - Intro to Descriptive Statistics.mp4	1.7 MB
26.1 Sum of Squares - Udacity 2016-04-19 23-04-53.jpeg	242.9 KB
8.2 Where Is Q1- - Intro to Descriptive Statistics.mp4	5.7 MB
1.1 Social Networkers' Salaries - Udacity 2016-04-19 22-49-07.jpeg	203.7 KB
8.1 Where Is Q1- - Udacity 2016-04-19 22-54-16.jpeg	276.5 KB
34.1 Spreadsheet SD - Udacity 2016-04-20 07-17-15.jpeg	316.5 KB
22.1 Absolute Deviations - Udacity 2016-04-19 23-01-52.jpeg	224.8 KB
11.2 What Is an Outlier- - Intro to Descriptive Statistics.mp4	2.2 MB
28.2 Avg. Squared Dev. in Words - Intro to Descriptive Statistics.mp4	5.1 MB
14.2 Mean Within IQR- - Intro to Descriptive Statistics.mp4	6.1 MB
13.2 Match Boxplots - Intro to Descriptive Statistics.mp4	6.1 MB
38. Bessel's Correction - Intro to Descriptive Statistics.mp4	7.0 MB
25. Squared Deviations - Intro to Descriptive Statistics.mp4	1.8 MB
28. Avg. Squared Dev. in Words - Intro to Descriptive Statistics.mp4	3.1 MB
19.1 Average Deviation - Udacity 2016-04-19 22-59-55.jpeg	225.3 KB
12.2 Define Outlier - Intro to Descriptive Statistics.mp4	11.0 MB
12.2 Define Outlier - Intro to Descriptive Statistics (1).mp4	11.0 MB
35. Point of SD - Intro to Descriptive Statistics.mp4	15.9 MB
4. Quantify Spread - Intro to Descriptive Statistics.mp4	6.7 MB
8. Where Is Q1- - Intro to Descriptive Statistics.mp4	4.1 MB
2. Should You Get an Account- - Intro to Descriptive Statistics.mp4	3.1 MB
31. Calculate SD - Intro to Descriptive Statistics.mp4	2.1 MB
9.1 Q3 - Q1 - Udacity 2016-04-19 22-54-47.jpeg	271.3 KB
10.2 IQR - Intro to Descriptive Statistics.mp4	12.4 MB
Sample Social Networkers Salary n=100 - Lesson 4 (1).xlsx	7.9 KB
11.1 What Is an Outlier- - Udacity 2016-04-19 22-55-51.jpeg	211.4 KB
27.2 Average Squared Deviation - Intro to Descriptive Statistics.mp4	1.7 MB
4.1 Quantify Spread - Udacity 2016-04-19 22-50-45.jpeg	229.8 KB
1.Social Networkers' Salaries - Intro to Descriptive Statistics.mp4	4.3 MB
38.1 Bessel's Correction - Udacity 2016-04-20 07-24-24.jpeg	200.2 KB
31.2 Calculate SD - Intro to Descriptive Statistics.mp4	539.0 KB
7. Chop Off the Tails - Intro to Descriptive Statistics.mp4	5.9 MB
12. Define Outlier - Intro to Descriptive Statistics.mp4	5.9 MB
34.2 Spreadsheet SD - Intro to Descriptive Statistics.mp4	20.1 MB
32.1 SD Social Networkers - Udacity 2016-04-20 07-15-57.jpeg	176.9 KB
40. Jelly Beans - Intro to Descriptive Statistics.mp4	9.7 MB
17.1 Calculate Mean - Udacity 2016-04-19 22-58-52.jpeg	192.3 KB
3.2 What's the Difference- - Intro to Descriptive Statistics.mp4	7.2 MB
36. Find Values - Intro to Descriptive Statistics.mp4	2.7 MB
24.1 Formula for Avg. Abs. Dev. - Udacity 2016-04-19 23-03-32.jpeg	250.9 KB
30. Standard Deviation - Intro to Descriptive Statistics.mp4	6.8 MB
5. Does Range Change- - Intro to Descriptive Statistics.mp4	857.5 KB
39. Clarifying Sample SD - Intro to Descriptive Statistics.mp4	17.7 MB
22. Absolute Deviations - Intro to Descriptive Statistics.mp4	1.8 MB
5.1 Does Range Change- - Udacity 2016-04-19 22-52-16.jpeg	227.7 KB
17. Calculate Mean - Intro to Descriptive Statistics.mp4	2.0 MB
37.2 Sample SD - Intro to Descriptive Statistics.mp4	5.7 MB
29.1 One Dimension - Udacity 2016-04-19 23-06-33.jpeg	279.2 KB
10. IQR - Intro to Descriptive Statistics.mp4	4.6 MB
33.1 SD in Words - Udacity 2016-04-20 07-16-35.jpeg	179.7 KB
19.2 Average Deviation - Intro to Descriptive Statistics.mp4	2.6 MB
37.1 Sample SD - Udacity 2016-04-20 07-23-49.jpeg	188.8 KB
13. Match Boxplots - Intro to Descriptive Statistics.mp4	9.6 MB
17.2 Calculate Mean - Intro to Descriptive Statistics.mp4	3.5 MB
16.2 Measure Variability - Intro to Descriptive Statistics.mp4	16.6 MB
14.1 Mean Within IQR- - Udacity 2016-04-19 22-57-31.jpeg	213.8 KB
14. Mean Within IQR- - Intro to Descriptive Statistics.mp4	3.8 MB
18. Deviation from Mean - Intro to Descriptive Statistics.mp4	3.1 MB
1.2 Social Networkers' Salaries - Intro to Descriptive Statistics.mp4	3.5 MB
36.2 Find Values - Intro to Descriptive Statistics.mp4	5.2 MB
32. SD Social Networkers - Intro to Descriptive Statistics.mp4	8.9 MB
19. Average Deviation - Intro to Descriptive Statistics.mp4	1.2 MB
38.2 Bessel's Correction - Intro to Descriptive Statistics.mp4	1.4 MB
31.1 Calculate SD - Udacity 2016-04-20 07-15-12.jpeg	241.4 KB
4.2 Quantify Spread - Intro to Descriptive Statistics.mp4	5.1 MB
25.2 Squared Deviations - Intro to Descriptive Statistics.mp4	2.4 MB
29. One Dimension - Intro to Descriptive Statistics.mp4	9.6 MB
6.1 Mark Z the Outlier - Udacity 2016-04-19 22-53-26.jpeg	237.1 KB
3.1 What's the Difference- - Udacity 2016-04-19 22-50-10.jpeg	250.4 KB
3. What's the Difference- - Intro to Descriptive Statistics.mp4	4.8 MB
21.2 Be Happy and Get Rid of Negatives - Intro to Descriptive Statistics.mp4	7.4 MB
18.1 Deviation from Mean - Udacity 2016-04-19 22-59-25.jpeg	223.2 KB
/.../Variability of Data Subtitles/
57 - Calculate SD.srt	0.3 KB
52 - Avg Squared Dev in Words.srt	0.5 KB
63 - Spreadsheet SD.srt	1.1 KB
70 - Bessels Correction.srt	1.1 KB
48 - Sum of Squares.srt	0.4 KB
01 - Social Networkers Salaries.srt	0.7 KB
69 - Sample SD.srt	0.8 KB
73 - Jelly Beans.srt	1.5 KB
35 - Average Deviation.srt	0.4 KB
07 - Quantify Spread.srt	0.6 KB
65 - Point of SD.srt	2.3 KB
30 - Calculate Mean.srt	0.4 KB
27 - Problem with IQR.srt	1.0 KB
10 - Mark Z the Outlier.srt	0.3 KB
21 - Define Outlier.srt	0.6 KB
18 - IQR.srt	1.6 KB
38 - Be Happy and Get Rid of Negatives.srt	1.6 KB
16 - Q3 - Q1.srt	0.5 KB
13 - Where Is Q1.srt	0.5 KB
25 - Mean Within IQR.srt	0.6 KB
67 - Find Values.srt	0.7 KB
11 - Mark Z the Outlier.srt	0.7 KB
36 - Equation for Average Deviation.srt	0.6 KB
40 - Absolute Deviations.srt	0.3 KB
41 - Absolute Deviations.srt	0.2 KB
54 - One Dimension.srt	1.2 KB
22 - Define Outlier.srt	0.9 KB
46 - Squared Deviations.srt	0.2 KB
24 - Match Boxplots.srt	1.0 KB
31 - Calculate Mean.srt	0.4 KB
37 - Equation for Average Deviation.srt	0.9 KB
42 - Average Absolute Deviation.srt	0.1 KB
68 - Sample SD.srt	0.7 KB
61 - SD in Words.srt	1.5 KB
23 - Match Boxplots.srt	1.3 KB
45 - Formula for Avg Abs Dev.srt	2.9 KB
58 - Calculate SD.srt	0.1 KB
09 - Does Range Change.srt	1.0 KB
06 - Quantify Spread.srt	0.8 KB
05 - Whats the Difference.srt	1.0 KB
02 - Social Networkers Salaries.srt	0.5 KB
12 - Chop Off the Tails.srt	0.8 KB
56 - Standard Deviation.srt	1.0 KB
50 - Average Squared Deviation.srt	0.4 KB
26 - Mean Within IQR.srt	0.9 KB
39 - Be Happy and Get Rid of Negatives.srt	1.1 KB
14 - Where Is Q1.srt	0.4 KB
44 - Formula for Avg Abs Dev.srt	0.3 KB
49 - Sum of Squares.srt	1.5 KB
20 - What Is an Outlier.srt	0.4 KB
29 - Measure Variability.srt	2.3 KB
66 - Find Values.srt	0.4 KB
43 - Average Absolute Deviation.srt	0.1 KB
60 - SD Social Networkers.srt	5.2 KB
34 - Average Deviation.srt	0.2 KB
53 - Avg Squared Dev in Words.srt	0.7 KB
47 - Squared Deviations.srt	0.4 KB
04 - Whats the Difference.srt	0.9 KB
17 - IQR.srt	0.7 KB
15 - Q3 - Q1.srt	1.4 KB
08 - Does Range Change.srt	0.2 KB
62 - SD in Words.srt	1.7 KB
64 - Spreadsheet SD.srt	2.1 KB
71 - Bessels Correction.srt	0.2 KB
59 - SD Social Networkers.srt	1.5 KB
55 - One Dimension.srt	0.6 KB
19 - What Is an Outlier.srt	0.5 KB
03 - Should You Get an Account.srt	0.6 KB
32 - Deviation from Mean.srt	0.4 KB
33 - Deviation from Mean.srt	0.5 KB
72 - Clarifying Sample SD.srt	2.3 KB
51 - Average Squared Deviation.srt	0.2 KB
28 - Measure Variability.srt	1.1 KB
/.../13. Learning Curves and Model Complexity/
2. Curse of Dimensionality Two - Georgia Tech - Machine Learning.mp4	65.2 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1. Learning Curves - Udacity 2016-04-20 08-17-54.jpeg	207.5 KB
2. Learning Curves - II - Udacity 2016-04-20 08-18-04.jpeg	175.0 KB
3. Ideal Learning Curve - Udacity 2016-04-20 08-18-15.jpeg	132.1 KB
1. Curse of Dimensionality - Georgia Tech - Machine Learning.mp4	23.9 MB
5. Learning Curves and Model Complexity - Udacity 2016-04-20 08-18-38.jpeg	174.3 KB
4. Model Complexity - Udacity 2016-04-20 08-18-26.jpeg	136.8 KB
6. Practical use of Model Complexity - Udacity 2016-04-20 08-18-48.jpeg	155.9 KB
7. Summary - Udacity 2016-04-20 08-18-59.jpeg	190.3 KB
/.../10. Training & Testing/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1.1 Benefits of Testing - Udacity 2016-04-20 08-08-15 (1).jpeg	193.1 KB
2.1 Train-Test Split in sklearn.py	1.0 KB
1. Benefits of Testing - Intro to Machine Learning.mp4	6.6 MB
1.1 Benefits of Testing - Udacity 2016-04-20 08-08-15.jpeg	193.1 KB
1.2 Benefits of Testing - Intro to Machine Learning.mp4	5.1 MB
2. Train_Test Split in sklearn - Intro to Machine Learning.mp4	23.4 MB
/.../Training & Testing Subtitles/
1 - Benefits of Testing.srt	1.2 KB
2 - Benefits of Testing.srt	1.1 KB
3 - TrainTest Split in sklearn.srt	4.0 KB
/.../11. Cross Validation/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
2. K-Fold CV in sklearn - Intro to Machine Learning.mp4	26.4 MB
6.1 GridSearchCV in sklearn.txt	0.1 KB
3. Practical Advice for K-Fold in sklearn - Intro to Machine Learning.mp4	40.6 MB
4. Cross Validation for Parameter Tuning - Intro to Machine Learning.mp4	8.1 MB
1.1 K-Fold Cross Validation - Udacity 2016-04-20 08-10-16.jpeg	164.6 KB
1. K-Fold Cross Validation - Intro to Machine Learning.mp4	23.4 MB
6. GridSearchCV in sklearn - Udacity 2016-04-20 08-12-41.jpeg	134.8 KB
2.1 K-Fold CV in sklearn - Udacity 2016-04-20 08-10-56.jpeg	294.1 KB
5.1 GridSearchCV in sklearn.txt	0.1 KB
5. GridSearchCV in sklearn - Udacity 2016-04-20 08-11-41.jpeg	396.3 KB
6.2 GridSearchCV in sklearn - Udacity 2016-04-20 08-12-53.jpeg	171.5 KB
1.2 K-Fold Cross Validation - Intro to Machine Learning.mp4	4.0 MB
/.../Cross Validation Subtitles/
5 - Cross Validation for Parameter Tuning.srt	1.3 KB
2 - K-Fold Cross Validation.srt	1.1 KB
1 - K-Fold Cross Validation.srt	4.7 KB
4 - Practical Advice for K-Fold in sklearn.srt	3.4 KB
3 - K-Fold CV in sklearn.srt	2.5 KB
/.../6. Scikit-learn Tutorial/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3. Getting Started With SKlearn - Intro to Machine Learning.mp4	8.2 MB
2. scikit-learn Code - Udacity 2016-04-20 07-45-24.jpeg	208.3 KB
4. Gaussian NB Example - Intro to Machine Learning.mp4	27.4 MB
1. scikit-learn Installation - Udacity 2016-04-20 07-45-12.jpeg	155.9 KB
/.../scikit-learn Tutorial Subtitles/
1 - Getting Started With sklearn.srt	2.2 KB
2 - Gaussian NB Example.srt	5.3 KB
/.../14. Project Prep/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
2. Project Description and Deliverables - Udacity 2016-04-20 08-20-19.jpeg	378.9 KB
2.1 Project Description and Deliverables.txt	0.2 KB
1. Project Overview and Highlights - Udacity 2016-04-20 08-19-29.jpeg	318.0 KB
forum discuss.txt	0.1 KB
4. Evaluation & Submission - Udacity 2016-04-20 08-22-14.jpeg	194.5 KB
4.1 Evaluation & Submission.txt	0.1 KB
3.1 Questions & Report Structure.txt	0.0 KB
3. Questions & Report Structure - Udacity 2016-04-20 08-21-29.jpeg	530.5 KB
1.1 Project Overview and Highlights.txt	0.1 KB
/.../9. Nature of Data & Model Building/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3. Different Data Types 3 - Time Series Data - Intro to Data Science.mp4	5.8 MB
1. Different Data Types 1 - Numeric Data - Intro to Data Science.mp4	16.2 MB
2. Different Data Types 2 - Categorical Data - Intro to Data Science.mp4	8.9 MB
/.../Nature of Data & Model Building Subtitles/
3 - Data Types 3 - Time Series Data.srt	1.0 KB
2 - Data Types 2 - Categorical Data.srt	1.7 KB
1 - Data Types 1 - Numeric Data.srt	2.9 KB
/.../1.Model Evaluation and Validation/7. Evaluation Metrics/
13.2 Confusion Matrix- False Alarms - Intro to Machine Learning.mp4	6.4 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
4. Classification vs Regression Metrics - Udacity 2016-04-20 07-48-12.jpeg	162.6 KB
16. Powell Precision and Recall - Intro to Machine Learning.mp4	1.7 MB
25. Regression Metrics - Udacity 2016-04-20 08-00-01.jpeg	156.3 KB
7.2 Shortcomings of Accuracy Solution - Intro to Machine Learning (1).mp4	8.9 MB
21. -Practicing TP.mp4	706.5 KB
5. Classification Metrics - Udacity 2016-04-20 07-48-23.jpeg	140.5 KB
22. Equation for Precision - Intro to Machine Learning.mp4	2.8 MB
7.1 Shortcomings of Accuracy - Udacity 2016-04-20 07-50-10.jpeg	246.6 KB
7.2 Shortcomings of Accuracy Solution - Intro to Machine Learning.mp4	8.9 MB
19.1 False Positives in Eigenfaces - Udacity 2016-04-20 07-56-42.jpeg	228.2 KB
26.1 Mean Absolute Error.txt	0.1 KB
27. Mean Squared Error - Udacity 2016-04-20 08-00-50.jpeg	179.5 KB
14. Decision Tree Confusion Matrix - Intro to Machine Learning.mp4	4.5 MB
10.1 Confusion Matrix Practice 1 - Udacity 2016-04-20 07-51-51.jpeg	193.0 KB
18. True Positives in Eigenfaces - Intro to Machine Learning.mp4	4.6 MB
23. Equation for Recall - Intro to Machine Learning.mp4	1.1 MB
26. Mean Absolute Error - Udacity 2016-04-20 08-00-13.jpeg	179.3 KB
18.2 True Positives in EigenFaces - Intro to Machine Learning.mp4	1.2 MB
17.1 Bush Precision and Recall - Udacity 2016-04-20 07-55-34.jpeg	235.3 KB
23.2 Equation for Recall - Intro to Machine Learning.mp4	3.0 MB
9.1 Confusion Matrices - Udacity 2016-04-20 07-51-02.jpeg	191.6 KB
22. Equation for Precision - Intro to Machine Learning (1).mp4	2.8 MB
24.2 F1 Score.txt	0.1 KB
20.1 False Negatives in Eigenfaces - Udacity 2016-04-20 07-57-14.jpeg	213.5 KB
24. F1 Score - Udacity 2016-04-20 07-59-24.jpeg	161.6 KB
27.1 Mean Squared Error.txt	0.1 KB
8. Picking the Most Suitable Metric - Intro to Machine Learning.mp4	13.2 MB
28. Regression Scoring Functions - Udacity 2016-04-20 08-01-26.jpeg	232.2 KB
6. Accuracy - Udacity 2016-04-20 07-48-32.jpeg	170.5 KB
9.2 Confusion Matrices.mkv	807.6 KB
12.1 Filling in a Confusion Matrix - Udacity 2016-04-20 07-53-17.jpeg	198.4 KB
14.2 Decision Tree Confusion Matrix - Intro to Machine Learning.mp4	5.1 MB
11.2 Confusion Matrix Practice 2 - Intro to Machine Learning.mp4	1.7 MB
14.1 Decision Tree Confusion Matrix - Udacity 2016-04-20 07-54-22.jpeg	203.3 KB
21.2 -Practicing TP.mp4	1.7 MB
12.2 Filling in a Confusion Matrix - Intro to Machine Learning.mp4	2.6 MB
11. Confusion Matrix Practice 2 - Intro to Machine Learning.mp4	1.1 MB
13. Confusion Matrix- False Alarms - Intro to Machine Learning.mp4	2.7 MB
13.1 Confusion Matrix- False Alarms - Udacity 2016-04-20 07-53-51.jpeg	201.9 KB
16.1 Powell Precision and Recall - Udacity 2016-04-20 07-55-04.jpeg	229.9 KB
20. False Negatives in Eigenfaces - Intro to Machine Learning.mp4	511.6 KB
10.2 Confusion Matrix Practice 1 - Intro to Machine Learning.mp4	982.1 KB
6.2 Accuracy.txt	0.1 KB
10. Confusion Matrix Practice - Intro to Machine Learning.mp4	605.0 KB
11.1 Confusion Matrix Practice 2 - Udacity 2016-04-20 07-52-22.jpeg	194.5 KB
9. Confusion Matrices - Intro to Machine Learning.mp4	7.8 MB
18.1 True Positives in Eigenfaces - Udacity 2016-04-20 07-56-10.jpeg	225.3 KB
20.2 False Negatives in Eigenfaces - Intro to Machine Learning.mp4	1.9 MB
12. Filling in a Confusion Matrix.mkv	1.3 MB
21.1 Practicing TP, FP, FN with Rumsfeld - Udacity 2016-04-20 07-57-46.jpeg	210.6 KB
22.1 Equation for Precision - Udacity 2016-04-20 07-58-27.jpeg	217.0 KB
28.2 Regression Scoring Functions.txt	0.2 KB
15. Precision and Recall - Intro to Machine Learning.mp4	5.9 MB
17. Bush Precision and Recall - Intro to Machine Learning.mp4	877.2 KB
7. Shortcomings of Accuracy - Intro to Machine Learning.mp4	20.8 MB
2. Before Picking a Metric - Udacity 2016-04-20 07-47-51.jpeg	269.9 KB
19.2 False Positives in Eigenfaces - Intro to Machine Learning.mp4	1.4 MB
1. Welcome to Evaluation Metrics Lesson - Intro to Machine Learning.mp4	9.7 MB
19. False Positives in Eigenfaces - Intro to Machine Learning.mp4	534.3 KB
17.2 Bush Precision and Recall - Intro to Machine Learning.mp4	6.4 MB
22.2 Equation for Precision - Intro to Machine Learning.mp4	5.4 MB
23.1 Equation for Recall - Udacity 2016-04-20 07-58-59 (1).jpeg	224.1 KB
23.1 Equation for Recall - Udacity 2016-04-20 07-58-59.jpeg	224.1 KB
3. Classification and Regression - Udacity 2016-04-20 07-48-02.jpeg	211.3 KB
16.2 Powell Precision and Recall - Intro to Machine Learning.mp4	4.0 MB
/.../Evaluation Metrics Subtitles/
02 - Shortcomings of Accuracy.srt	3.8 KB
14 - Confusion Matrix False Alarms.srt	1.2 KB
18 - Powell Precision and Recall.srt	0.3 KB
09 - Confusion Matrix Practice 2.srt	0.3 KB
29 - Practicing TP, FP, FN with Rumsfeld.srt	0.3 KB
31 - Equation for Precision.srt	0.9 KB
05 - Confusion Matrices.srt	1.5 KB
08 - Confusion Matrix Practice 1.srt	0.2 KB
03 - Shortcomings of Accuracy Solution.srt	1.8 KB
20 - Bush Precision and Recall.srt	0.2 KB
04 - Picking the Most Suitable Metric.srt	1.6 KB
13 - Confusion Matrix False Alarms.srt	0.5 KB
27 - False Negatives in Eigenfaces.srt	0.4 KB
28 - Practicing TP, FP, FN with Rumsfeld.srt	0.1 KB
30 - Equation for Precision.srt	0.6 KB
07 - Confusion Matrix Practice.srt	0.2 KB
32 - Equation for Recall.srt	0.3 KB
06 - Confusion Matrices.srt	0.3 KB
24 - False Positives in Eigenfaces.srt	0.1 KB
16 - Decision Tree Confusion Matrix.srt	1.0 KB
25 - False Positives in Eigenfaces.srt	0.3 KB
33 - Equation for Recall.srt	0.6 KB
01 - Welcome to Evaluation Metrics Lesson.srt	1.2 KB
12 - Filling in a Confusion Matrix.srt	0.4 KB
15 - Decision Tree Confusion Matrix.srt	0.7 KB
19 - Powell Precision and Recall.srt	0.7 KB
26 - False Negatives in Eigenfaces.srt	0.1 KB
11 - Filling in a Confusion Matrix.srt	0.4 KB
21 - Bush Precision and Recall.srt	1.1 KB
10 - Confusion Matrix Practice 2.srt	0.3 KB
22 - True Positives in Eigenfaces.srt	0.8 KB
17 - Precision and Recall.srt	1.1 KB
23 - True Positives in EigenFaces.srt	0.2 KB
/.../1.Model Evaluation and Validation/15. Submit/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
P1- Predicting Boston Housing Prices - Udacity 2016-04-20 08-27-05.jpeg	198.3 KB
boston_housing.ipynb	26.0 KB
/.../12. Representative Power of a Model/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1 - Curse of Dimensionality.mp4	25.2 MB
2 - Curse of Dimensionality Two.mp4	59.0 MB
/.../Representative Power of a Model Subtitles/
1 - Curse of Dimensionality.srt	5.8 KB
2 - Curse of Dimensionality Two.srt	13.0 KB
/.../1.Model Evaluation and Validation/2.Prerequisites/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
2.Pre-reqs - Intro to Machine Learning.mp4	9.0 MB
1.Statistics Review & Supporting Libraries - Udacity 2016-04-19 22-22-43.jpeg	134.8 KB
/.../1.Model Evaluation and Validation/2.Prerequisites/Prerequisites Subtitles/
1 - Prerequisites.srt	1.8 KB
/.../8. Causes of Error/
1. Causes of Error - Udacity 2016-04-20 08-03-25.jpeg	142.9 KB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
5. Bias Variance Dilemma Quiz - Intro to Machine Learning.mp4	14.8 MB
4.1 Improving the Validity of a Model.txt	0.1 KB
6.1 Bias, Variance & Number of Features Pt 2 - Udacity 2016-04-20 08-05-09.jpeg	226.4 KB
2. Error due to Bias - Udacity 2016-04-20 08-03-33.jpeg	207.1 KB
4. Improving the Validity of a Model - Udacity 2016-04-20 08-03-54.jpeg	211.4 KB
3. Error due to Variance - Udacity 2016-04-20 08-03-42.jpeg	209.0 KB
5.2 Bias Variance Dilemma Solution - Intro to Machine Learning.mp4	3.4 MB
6.2 Bias_Variance and Features Quiz Solution - Intro to Machine Learning.mp4	9.2 MB
6. -Bias.mp4	4.5 MB
5.1 Bias, Variance, and Number of Features - Udacity 2016-04-20 08-04-39.jpeg	214.4 KB
7. Overfitting by Eye - Intro to Machine Learning.mp4	12.9 MB
/.../Causes of Error Subtitles/
1 - Bias Variance Dilemma Quiz.srt	3.0 KB
2 - Bias Variance Dilemma Solution.srt	0.8 KB
5 - Overfitting by Eye.srt	2.4 KB
4 - BiasVariance and Features Quiz Solution.srt	1.9 KB
3 - Bias, Variance and Features Quiz.srt	1.0 KB
/.../5. Numpy & Pandas Tutorials/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
11.3 Average Bronze Medals - Udacity 2016-04-20 07-39-08.jpeg	327.1 KB
13. Matrix Multiplication and Numpy Dot - Intro to Data Science.mp4	24.3 MB
11. Average Bronze Medals - Intro to Data Science.mp4	4.6 MB
14.1 Olympics Medal Points.py	1.6 KB
12. -Average Gold.mp4	4.4 MB
3. Numpy Playground.py	2.5 KB
12.1 Average Gold, Silver, and Bronze Medals.py	1.7 KB
11.2 Average Bronze Medals - Intro to Data Science.mp4	8.1 MB
12.3 Average Gold, Silver, and Bronze Medals - Udacity 2016-04-20 07-40-36.jpeg	335.4 KB
5.Pandas Playground -- Series.py	1.9 KB
7.2 Dataframe -- Average Gold Medal - Intro to Data Science.mp4	6.6 MB
7.1 Create a DataFrame.py	1.7 KB
4. Pandas - Intro to Data Science.mp4	15.3 MB
14.2 Olympics Medal Points - Intro to Data Science.mp4	15.1 MB
6. Pandas Playground -- Dataframe.py	2.0 KB
7. Dataframe -- Average Gold Medal - Intro to Data Science.mp4	6.1 MB
8. Dataframe Columns - Intro to Data Science.mp4	15.1 MB
14. Olympics Medal Points - Intro to Data Science.mp4	6.2 MB
9. Pandas Playground - Indexing Dataframes.py	2.0 KB
10. Pandas Vectorized Methods - Intro to Data Science.mp4	6.8 MB
10.1 Pandas Vectorized Methods - Udacity 2016-04-20 07-35-28.jpeg	270.0 KB
14.3 Olympics Medal Points - Udacity 2016-04-20 07-43-03.jpeg	334.1 KB
11.1 Average Bronze Medals.py	1.9 KB
1. Numpy and Pandas Tutorials - Udacity 2016-04-20 07-26-20.jpeg	160.8 KB
13.1 Matrix Multiplication and Numpy Dot - Udacity 2016-04-20 07-41-46.jpeg	265.9 KB
12.2 -Average Gold.mp4	4.7 MB
2. Numpy - Intro to Data Science.mp4	3.9 MB
/.../Numpy & Pandas Tutorials Subtitles/
13 - Olympics Medal Points.srt	2.0 KB
11 - Matrix Multiplication and Numpy Dot.srt	3.3 KB
03 - Dataframe -- Average Gold Medal.srt	1.0 KB
04 - Dataframe -- Average Gold Medal.srt	0.8 KB
12 - Olympics Medal Points.srt	0.7 KB
01 - Numpy.srt	1.5 KB
02 - Pandas.srt	2.6 KB
06 - Pandas Vectorized Methods.srt	2.1 KB
10 - Average Gold, Silver, and Bronze Medals.srt	0.5 KB
09 - Average Gold, Silver, and Bronze Medals.srt	0.5 KB
08 - Average Bronze Medals.srt	0.9 KB
07 - Average Bronze Medals.srt	0.5 KB
05 - Dataframe Columns.srt	2.8 KB
/2.Project Prep/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
P1- Predicting Boston Housing Prices - Udacity 2016-04-20 08-27-05.jpeg	198.3 KB
boston_housing.ipynb	26.0 KB
/5. P3 Creating Customer Segments/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/2. Project Prep/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3.1 Questions and Report Structure.txt	0.2 KB
2.1 Project Description and Deliverables.txt	0.4 KB
5. P3- Creating Customer Segments - Udacity 2016-04-27 07-33-35.jpeg	222.0 KB
1. Project Description and Highlights - Udacity 2016-04-27 07-30-05.jpeg	394.6 KB
4.1 Evaluation & Submission.txt	0.2 KB
4. Evaluation & Submission - Udacity 2016-04-27 07-32-36.jpeg	221.8 KB
2. Project Description and Deliverables - Udacity 2016-04-27 07-30-40.jpeg	419.1 KB
1.1 Project Description and Highlights.txt	0.2 KB
3. Questions and Report Structure - Udacity 2016-04-27 07-32-00.jpeg	553.8 KB
/1. Unsupervised Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/.../1. Introduction to Unsupervised Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1. Unsupervised Learning.mp4	9.8 MB
2. Unsupervised Learning What Youll Watch and Learn.mp4	8.1 MB
/.../4. Clustering Mini-Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3.1 Clustering Features.txt	0.0 KB
6. Stock Option Range - Udacity 2016-04-26 21-59-16.jpeg	235.4 KB
5.1 Clustering with 3 Features - Udacity 2016-04-26 21-59-05.jpeg	208.5 KB
4.1 Deploying Clustering - Udacity 2016-04-26 21-58-41.jpeg	205.5 KB
2.1 K-Means Clustering Mini-Project.txt	0.0 KB
1. Clustering Mini-Project Video - Intro to Machine Learning.mp4	5.2 MB
2. K-Means Clustering Mini-Project - Udacity 2016-04-26 21-56-26.jpeg	161.3 KB
5. Clustering with 3 Features - Udacity 2016-04-26 21-58-54.jpeg	205.1 KB
7.1 Salary Range - Udacity 2016-04-26 21-59-47.jpeg	177.7 KB
7. Salary Range - Udacity 2016-04-26 21-59-37.jpeg	188.8 KB
3.2 Clustering Features - Udacity 2016-04-26 21-58-05.jpeg	175.3 KB
4. Deploying Clustering - Udacity 2016-04-26 21-58-31.jpeg	159.7 KB
8.1 Clustering Changes - Udacity 2016-04-26 22-00-09.jpeg	194.1 KB
3. Clustering Features - Udacity 2016-04-26 21-57-23.jpeg	186.1 KB
8. Clustering Changes - Udacity 2016-04-26 21-59-59.jpeg	223.3 KB
6.1 Stock Option Range - Udacity 2016-04-26 21-59-25.jpeg	185.3 KB
/1. Unsupervised Learning/2. Clustering/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
14. Limitations of K-Means Quiz - Intro to Machine Learning.mp4	4.7 MB
16.1 Counterintuitive Clusters 2 - Udacity 2016-04-25 16-09-05.jpeg	168.1 KB
7.2 Match Points (again) - Intro to Machine Learning.mp4	5.9 MB
10. K-Means Clustering Visualization 2 - Intro to Machine Learning.mp4	17.4 MB
4.2 Match Points with Clusters - Intro to Machine Learning.mp4	3.5 MB
4.1 Match Points with Clusters - Udacity 2016-04-25 16-03-18.jpeg	192.2 KB
3. How Many Clusters - Intro to Machine Learning.mp4	3.9 MB
13. Some challenges of k-means - Intro to Machine Learning.mp4	3.2 MB
14.2 Limitations of K-Means Solution - Intro to Machine Learning.mp4	1.2 MB
11. K-Means Clustering Visualization 3 - Intro to Machine Learning.mp4	11.4 MB
9.1 K-Means Cluster Visualization - Udacity 2016-04-25 16-06-16.jpeg	210.1 KB
9.3 K-Means Clustering Visualization - Intro to Machine Learning.mp4	1.9 MB
15.1 Counterintuitive Clusters - Udacity 2016-04-25 16-08-36.jpeg	182.7 KB
16. Counterintuitive Clusters - Intro to Machine Learning.mp4	3.2 MB
15. Counterintuitive Clusters - Intro to Machine Learning.mp4	5.4 MB
15.2 Counterintuitive Clusters - Udacity 2016-04-25 16-08-45.jpeg	189.4 KB
12. Sklearn - Intro to Machine Learning.mp4	36.2 MB
7.1 Match Points (again) - Udacity 2016-04-25 16-04-41.jpeg	175.4 KB
3.1 How Many Clusters- - Udacity 2016-04-25 16-02-50.jpeg	172.6 KB
9. K-Means Clustering Visualization - Intro to Machine Learning.mp4	5.4 MB
8. Handoff to Katie.mp4	481.3 KB
5.1 Optimizing Centers (Rubber Bands) - Udacity 2016-04-25 16-03-50.jpeg	174.9 KB
10.2 a.txt	0.1 KB
6. Moving Centers 2 - Intro to Machine Learning.mp4	2.1 MB
3.2 How Many Clusters - Intro to Machine Learning.mp4	2.4 MB
9.2 K-Means Cluster Visualization.txt	0.1 KB
4. Match Points with Clusters - Intro to Machine Learning.mp4	4.7 MB
6.2 Moving Centers 2 - Intro to Machine Learning.mp4	1.7 MB
5.2 Optimizing Centers Quiz - Intro to Machine Learning.mp4	3.0 MB
1. Unsupervised Learning - Intro to Machine Learning.mp4	14.6 MB
2. Clustering Movies - Intro to Machine Learning.mp4	12.5 MB
5. Optimizing Centers (Rubber Bands).mp4	3.1 MB
6.1 Moving Centers 2 - Udacity 2016-04-25 16-04-15.jpeg	176.9 KB
7. Match Points (again) - Intro to Machine Learning.mp4	1.8 MB
14.1 Limitations of K-Means - Udacity 2016-04-25 16-08-10.jpeg	182.7 KB
10.1 K-Means Clustering Visualization 2 - Udacity 2016-04-25 16-07-10.jpeg	220.1 KB
16.2 Counterintuitive Clusters - Intro to Machine Learning.mp4	7.6 MB
/1. Unsupervised Learning/7. PCA/
10. Practice Finding Centers - Intro to Machine Learning.mp4	4.4 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
5.2 Trickiest Data Dimensionality - Intro to Machine Learning.mp4	8.4 MB
27.2 PCA on Enron finance data - Intro to Machine Learning.mp4	2.7 MB
19. Advantages of Maximal Variance - Intro to Machine Learning.mp4	8.8 MB
2. Trickier Data Dimensionality - Intro to Machine Learning.mp4	594.4 KB
5.1 Trickiest Data Dimensionality - Udacity 2016-04-26 22-21-50.jpeg	180.3 KB
18.2 Maximal Variance - Intro to Machine Learning.mp4	1.7 MB
1. Introduction.mp4	1.2 MB
24.1 Maximum Number of PCs Quiz - Udacity 2016-04-26 22-29-53.jpeg	189.5 KB
5. Trickiest Data Dimensionality - Intro to Machine Learning.mp4	1.5 MB
9.2 Second Principal Component of New System - Intro to Machine Learning.mp4	6.3 MB
31. Eigenfaces Code - Intro to Machine Learning.mp4	37.0 MB
7.2 Center of a New Coordinate System - Intro to Machine Learning.mp4	1.8 MB
15.1 From Four Features to Two - Udacity 2016-04-26 22-26-18.jpeg	195.5 KB
25. Review_Definition of PCA - Intro to Machine Learning.mp4	15.8 MB
15.2 From Four Features to Two - Intro to Machine Learning.mp4	4.8 MB
22.1 Neighborhood Composite Feature - Udacity 2016-04-26 22-29-16.jpeg	210.1 KB
9. Second Principal Component of New System - Intro to Machine Learning.mp4	3.0 MB
19.2 Advantages of Maximal Variance - Intro to Machine Learning.mp4	3.6 MB
3. -One-Dimensional.mp4	1.4 MB
11.1 Practice Finding New Axes - Udacity 2016-04-26 22-24-26.jpeg	206.5 KB
30.2 PCA for Facial Recognition - Intro to Machine Learning.mp4	12.6 MB
12. Which Data is Ready for PCA - Intro to Machine Learning.mp4	3.7 MB
8. Principal Axis of New Coordinate System - Intro to Machine Learning.mp4	4.4 MB
8.1 Principal Axis of New Coordinate System - Udacity 2016-04-26 22-22-56.jpeg	205.2 KB
22. Neighborhood Composite Feature - Intro to Machine Learning.mp4	3.4 MB
8.2 Principal Axis of New Coordinate System - Intro to Machine Learning.mp4	884.6 KB
24. Maximum Number of PCs Quiz - Intro to Machine Learning.mp4	2.5 MB
11.2 Practice Finding New Axes - Intro to Machine Learning.mp4	10.5 MB
3.1 One-Dimensional, or Two- - Udacity 2016-04-26 22-20-59.jpeg	188.4 KB
14. Latent Features - Intro to Machine Learning.mp4	3.2 MB
23. PCA for Feature Transformation - Intro to Machine Learning.mp4	21.1 MB
21. Info Loss and Principal Components - Intro to Machine Learning.mp4	11.2 MB
6. PCA for Data Transformation - Intro to Machine Learning.mp4	9.1 MB
13.1 When Does an Axis Dominate - Udacity 2016-04-26 22-25-21.jpeg	175.1 KB
13.2 When Does an Axis Dominate.mkv	3.0 MB
22.2 Neighborhood Composite Feature.mp4	2.9 MB
16.2 Compression While Preserving Information - Intro to Machine Learning.mp4	4.0 MB
29. When to Use PCA - Intro to Machine Learning.mp4	23.4 MB
1.1 Data Dimensionality - Udacity 2016-04-26 22-20-04.jpeg	170.6 KB
14.1 Measurable vs. Latent Features Quiz - Udacity 2016-04-26 22-25-50.jpeg	177.5 KB
7.1 Center of a New Coordinate System - Udacity 2016-04-26 22-22-29.jpeg	183.2 KB
20.2 Maximal Variance and Information Loss - Intro to Machine Learning.mp4	2.0 MB
2.2 Trickier Dimensionality - Intro to Machine Learning.mp4	1.7 MB
27.1 PCA on the Enron Finance Data - Udacity 2016-04-26 22-31-09.jpeg	175.4 KB
20.1 Maximal Variance and Information Loss - Udacity 2016-04-26 22-28-38.jpeg	223.6 KB
28.1 PCA in sklearn - Udacity 2016-04-26 22-31-40.jpeg	319.3 KB
10.1 Practice Finding Centers - Udacity 2016-04-26 22-23-58.jpeg	191.0 KB
19.1 Advantages of Maximal Variance - Udacity 2016-04-26 22-28-13.jpeg	212.8 KB
16.1 Compression While Preserving Information - Udacity 2016-04-26 22-26-47.jpeg	213.0 KB
30.1 PCA for Facial Recognition - Udacity 2016-04-26 22-32-09.jpeg	206.6 KB
26.1 Applying PCA to Real Data.txt	0.1 KB
2.1 Trickier Data Dimensionality - Udacity 2016-04-26 22-20-30.jpeg	177.9 KB
18. Maximal Variance - Intro to Machine Learning.mp4	12.5 MB
24.2 Maximum Number of PCs Quiz - Intro to Machine Learning.mp4	1.8 MB
28. PCA in sklearn - Intro to Machine Learning.mp4	27.5 MB
4.1 Slightly Less Perfect Data - Udacity 2016-04-26 22-21-24.jpeg	181.1 KB
13. When Does an Axis Dominate - Intro to Machine Learning.mp4	2.5 MB
11. Practice Finding New Axes - Intro to Machine Learning.mp4	512.6 KB
16. Compression While Preserving Information - Intro to Machine Learning.mp4	14.8 MB
18.1 Maximal Variance - Udacity 2016-04-26 22-27-41.jpeg	188.7 KB
17.2 Composite Features - Intro to Machine Learning.mp4	3.0 MB
10.2 Practice Finding Centers - Intro to Machine Learning.mp4	527.2 KB
3.2 -One-Dimensional.mp4	4.8 MB
4.2 Slightly Less Perfect Data - Intro to Machine Learning.mp4	4.3 MB
4. Slightly Less Perfect Data - Intro to Machine Learning.mp4	1.6 MB
17. Composite Features - Intro to Machine Learning.mp4	21.0 MB
26. Applying PCA to Real Data - Udacity 2016-04-26 22-30-26.jpeg	143.5 KB
30. PCA for Facial Recognition - Intro to Machine Learning.mp4	8.2 MB
9.1 Second Principal Component of New System - Udacity 2016-04-26 22-23-25.jpeg	212.1 KB
15. From Four Features to Two - Intro to Machine Learning.mp4	8.4 MB
14.2 Latent Features - Intro to Machine Learning.mp4	591.2 KB
12.2 Which Data is Good for PCA - Intro to Machine Learning.mp4	7.4 MB
27. PCA on the Enron Finance Data - Intro to Machine Learning.mp4	6.0 MB
12.1 Which Data is Ready for PCA - Udacity 2016-04-26 22-24-53.jpeg	165.2 KB
7. Center of a New Coordinate System - Intro to Machine Learning.mp4	6.4 MB
1.2 Data Dimensionality - Intro to Machine Learning.mp4	778.9 KB
20. Maximal Variance and Information Loss - Intro to Machine Learning.mp4	13.9 MB
1. Data Dimensionality - Intro to Machine Learning.mp4	6.4 MB
17.1 Composite Features - Udacity 2016-04-26 22-27-14.jpeg	197.5 KB
/1. Unsupervised Learning/6. Feature Selection/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3. Algorithms Quiz - Georgia Tech - Machine Learning.mp4	21.3 MB
2. Feature Selection - Georgia Tech - Machine Learning.mp4	29.3 MB
8.1 Minimum features required - Udacity 2016-04-26 22-11-31.jpeg	176.6 KB
3.2 Algorithms Quiz Solution - Georgia Tech - Machine Learning.mp4	19.2 MB
3.1 Algorithms - Udacity 2016-04-26 22-10-12.jpeg	177.7 KB
8.2 Zero Training Error Quiz Solution - Georgia Tech - Machine Learning.mp4	56.8 MB
6. Wrapping - Georgia Tech - Machine Learning.mp4	53.9 MB
4. Filtering and Wrapping - Georgia Tech - Machine Learning.mp4	26.9 MB
10. Relevance vs Usefulness - Georgia Tech - Machine Learning.mp4	44.5 MB
7. Searching.mp4	23.2 MB
5. Speed - Georgia Tech - Machine Learning.mp4	63.7 MB
9. Relevance - Georgia Tech - Machine Learning.mp4	48.9 MB
11. What Have We Learned.mp4	12.3 MB
8. Zero Training Error Quiz - Georgia Tech - Machine Learning.mp4	21.9 MB
/1. Unsupervised Learning/9. Feature Transformation/
7.1 Cocktail Party Problem - Udacity 2016-04-27 07-18-06.jpeg	216.1 KB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
9.2 PCA vs ICA Quiz Solution - Georgia Tech - Machine Learning.mp4	92.3 MB
12.1 Alternatives Quiz - Udacity 2016-04-27 07-20-14.jpeg	179.8 KB
14. Wrap Up.mp4	20.4 MB
12. Alternatives Quiz.mp4	755.9 KB
14.1 Wrap up	0.1 KB
4. Words Like Tesla - Georgia Tech - Machine Learning.mp4	22.3 MB
10.1 PCA vs ICA Continued - Udacity 2016-04-27 07-19-39.jpeg	169.6 KB
3. What Are Our Features - Georgia Tech - Machine Learning.mp4	71.8 MB
2. Feature Transformation.mp4	18.4 MB
6. Independent Components Analysis Two.mp4	19.1 MB
9.1 PCA vs ICA - Udacity 2016-04-27 07-18-46.jpeg	177.0 KB
8. Matrix.mp4	23.3 MB
9. PCA vs ICA.mp4	1.9 MB
7.2 Cocktail Party Problem.txt	0.1 KB
5. Independent Components Analysis - Georgia Tech - Machine Learning.mp4	20.2 MB
14.2 Wrap Up - Udacity 2016-04-27 07-21-16.jpeg	159.1 KB
7. Cocktail Party Problem.mp4	16.2 MB
10. PCA vs ICA Continued.mp4	26.5 MB
13. Alternatives Two - Georgia Tech - Machine Learning.mp4	28.5 MB
1. Introduction - Georgia Tech - Machine Learning.mp4	62.2 MB
10.2 PCA vs ICA Continued.txt	0.1 KB
11. Alternatives.mp4	18.1 MB
12.2 Alternatives Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	17.2 MB
/1. Unsupervised Learning/3. More Clustering/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
9. EM Examples - Georgia Tech - Machine Learning.mp4	40.4 MB
4.2 Issues With SLC.mp4	9.9 MB
5.1 Soft Clustering Quiz - Udacity 2016-04-26 21-40-23.jpeg	208.8 KB
3.2 Running Time of SLC Quiz Solution - Georgia Tech - Machine Learning.mp4	33.5 MB
1.2 Single Linkage Clustering Quiz Solution - Georgia Tech - Machine Learning.mp4	8.0 MB
3.1 Running Time of SLC - Udacity 2016-04-26 21-38-05.jpeg	191.1 KB
5. Soft Clustering Quiz - Georgia Tech - Machine Learning.mp4	7.7 MB
4. Issues With SLC Quiz - Georgia Tech - Machine Learning.mp4	4.6 MB
2. Single Linkage Clustering Two - Georgia Tech - Machine Learning.mp4	42.3 MB
10. Properties of EM - Georgia Tech - Machine Learning.mp4	31.5 MB
12.2 Clustering Properties Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	35.3 MB
5.2 Soft Clustering Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	10.0 MB
7. Maximum Likelihood Gaussian - Georgia Tech - Machine Learning.mp4	18.9 MB
12.1 Clustering Properties Quiz - Udacity 2016-04-26 21-49-49.jpeg	212.7 KB
12. Clustering Properties Quiz - Georgia Tech - Machine Learning.mp4	21.1 MB
3. Running Time of SLC Quiz - Georgia Tech - Machine Learning.mp4	7.8 MB
4.1 Issues With SLC - Udacity 2016-04-26 21-38-35.jpeg	208.0 KB
1.Single Linkage Clustering.mkv	29.1 MB
8.1 Expectation Maximization - Udacity 2016-04-26 21-48-36.jpeg	243.1 KB
14. What Have We Learned- - Georgia Tech - Machine Learning.mp4	10.7 MB
11. Clustering Properties - Georgia Tech - Machine Learning.mp4	38.9 MB
13. Impossibility Theorem - Georgia Tech - Machine Learning.mp4	23.7 MB
1.1 Single Linkage Clustering - Udacity 2016-04-26 21-37-22.jpeg	207.8 KB
8. Expectation Maximization - Georgia Tech - Machine Learning.mp4	36.3 MB
6. Soft Clustering - Georgia Tech - Machine Learning.mp4	26.0 MB
/1. Unsupervised Learning/10. Outro/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1. Reinforcement Learning Outro Part 1 - Georgia Tech - Machine Learning.mp4	79.8 MB
/1. Unsupervised Learning/5. Feature Scaling/
5. Quiz - Intro to Machine Learning.mp4	2.4 MB
7. Feature Scaling Formula Quiz 1 - Intro to Machine Learning.mp4	5.3 MB
9.1 Feature Scaling Formula Quiz 3 - Udacity 2016-04-26 22-04-36.jpeg	215.6 KB
4.2 Solution - Intro to Machine Learning.mp4	713.2 KB
3. Quiz - Intro to Machine Learning.mp4	646.3 KB
10. MinMax Rescaler Coding Quiz.mp4	1.2 MB
5.1 Chris's Shirt Size by Our Metric - Udacity 2016-04-26 22-03-02.jpeg	223.8 KB
4. Quiz - Intro to Machine Learning.mp4	418.0 KB
3.2 Solution - Intro to Machine Learning.mp4	972.1 KB
5.2 Solution - Intro to Machine Learning.mp4	2.1 MB
1. Chris Shirt Size Intuition - Intro to Machine Learning.mp4	10.9 MB
12. Quiz on Algorithms Requiring Rescaling - Intro to Machine Learning.mp4	6.9 MB
8.2 Feature Scale Formula Solution 2 - Intro to Machine Learning.mp4	506.9 KB
3.1 Height + Weight for Cameron - Udacity 2016-04-26 22-01-56.jpeg	209.6 KB
2.2 Solution - Intro to Machine Learning.mp4	920.3 KB
10.3 Min_Max Rescaler Solution - Intro to Machine Learning.mp4	1.3 MB
2. Quiz - Intro to Machine Learning.mp4	4.2 MB
12.2 Algorithms Requiring Rescaling Solution - Intro to Machine Learning.mp4	17.0 MB
7.2 Feature Scaling Formula Solution - Intro to Machine Learning.mp4	749.3 KB
10.2 Min_Max Rescaler Coding Quiz.py	0.5 KB
12.1 Quiz on Algorithms Requiring Rescaling - Udacity 2016-04-26 22-06-35.jpeg	205.8 KB
9.2 Feature Scaling Formula Quiz 3 Solution - Intro to Machine Learning.mp4	6.0 MB
8. Feature Scaling Formula Quiz 2 - Intro to Machine Learning.mp4	304.2 KB
4.1 Sarah's Height + Weight - Udacity 2016-04-26 22-02-24.jpeg	213.6 KB
1.1 Chris's T-Shirt Size (Intuition) - Udacity 2016-04-26 22-01-05.jpeg	203.3 KB
9. Feature Scaling Formula Quiz 3 - Intro to Machine Learning.mp4	3.6 MB
10.1 Min-Max Rescaler Coding Quiz - Udacity 2016-04-26 22-05-32.jpeg	290.6 KB
2.1 A Metric for Chris - Udacity 2016-04-26 22-01-30.jpeg	215.2 KB
11. Min_Max Scaler in sklearn - Intro to Machine Learning.mp4	26.0 MB
1.2 Chris Shirt Size Solution - Intro to Machine Learning.mp4	1.8 MB
7.1 Feature Scaling Formula Quiz 1 - Udacity 2016-04-26 22-03-41.jpeg	192.6 KB
8.1 Feature Scaling Formula Quiz 2 - Udacity 2016-04-26 22-04-07.jpeg	196.4 KB
6. Comparing Features with Different Scales - Intro to Machine Learning.mp4	16.3 MB
/.../8. PCA Mini-Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
5. F1 Score vs. No. of PCs Used - Udacity 2016-04-27 07-13-27.jpeg	160.8 KB
1. PCA Mini Project Video - Intro to Machine Learning.mp4	5.2 MB
3.1 Explained Variance of Each PC - Udacity 2016-04-27 07-12-53.jpeg	374.1 KB
2. PCA Mini-Project - Udacity 2016-04-27 07-11-34.jpeg	216.4 KB
4. How Many PCs to Use- - Udacity 2016-04-27 07-13-06.jpeg	206.3 KB
7. Selecting Principal Components Quiz - Intro to Machine Learning.mp4	10.9 MB
7.1 Selecting Principal Components - Udacity 2016-04-27 07-14-18.jpeg	206.1 KB
7.2 Selecting Principal Components Solution - Intro to Machine Learning.mp4	12.7 MB
5.1 F1 Score vs. No. of PCs Used - Udacity 2016-04-27 07-13-35.jpeg	174.1 KB
4.1 How Many PCs to Use- - Udacity 2016-04-27 07-13-16.jpeg	189.3 KB
3. Explained Variance of Each PC - Udacity 2016-04-27 07-12-36.jpeg	345.3 KB
2.1 PCA Mini-Project.txt	0.2 KB
6.1 Dimensionality Reduction and Overfitting - Udacity 2016-04-27 07-13-56.jpeg	218.1 KB
6. Dimensionality Reduction and Overfitting - Udacity 2016-04-27 07-13-48.jpeg	144.9 KB
/4. P2 Build a Student Intervention System/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/2. Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/2. Project/1. Project Prep/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3.1 Questions and Report Structure.txt	0.1 KB
2.1 Language, Libraries & Deliverables.txt	0.1 KB
4. Evaluation & Submission - Udacity 2016-04-25 15-54-11.jpeg	199.6 KB
4.2 Evaluation & Submission.txt	0.1 KB
3. Questions and Report Structure - Udacity 2016-04-25 15-53-32.jpeg	470.8 KB
1. Project Description - Udacity 2016-04-25 15-51-59.jpeg	577.5 KB
1.2 Project Description.txt	0.1 KB
2. Language, Libraries & Deliverables - Udacity 2016-04-25 15-52-58.jpeg	242.1 KB
/2. Project/2. Submission/
Linear Regression Review.pdf	198.6 KB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
Gradient Descent.pdf	236.9 KB
Neural Networks.pdf	2.4 MB
Kernel_Methods_and_SVMs.pdf	352.9 KB
Intro to Boosting.pdf	503.4 KB
Instance Based Learning.pdf	167.7 KB
Bayesian Learning.pdf	493.3 KB
ID3 Algorithm for Decision Trees.pdf	961.1 KB
Bayesian Inference.pdf	396.0 KB
1. P2- Build a Student Intervention System - Udacity 2016-04-25 15-55-55.jpeg	227.8 KB
/1. Supervised Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/1. Supervised Learning/7. Neural Networks/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
Gradient Descent.pdf	236.9 KB
6. How Powerful is a Perceptron Unit NOT Quiz - Georgia Tech - Machine Learning.mp4	5.3 MB
Neural Networks.pdf	2.4 MB
2.2 Artificial Neural Networks Quiz Solution - Georgia Tech - Machine Learning.mp4	6.6 MB
9. Gradient Descent - Georgia Tech - Machine Learning.mp4	37.4 MB
2. Artificial Neural Networks Quiz - Georgia Tech - Machine Learning.mp4	5.3 MB
7. XOR as Perceptron Network Quiz - Georgia Tech - Machine Learning.mp4	10.1 MB
5.1 How Powerful is a Perceptron Unit OR Quiz - Udacity 2016-04-25 10-13-29.jpeg	249.8 KB
11.1 Comparison of Learning Rules Quiz - Udacity 2016-04-25 10-17-29.jpeg	259.2 KB
4.1 How Powerful is a Perceptron Unit Quiz - Udacity 2016-04-25 10-12-48.jpeg	258.2 KB
3.1 Thresholding function.txt	0.1 KB
11. Comparison of Learning Rules Quiz - Georgia Tech - Machine Learning.mp4	10.3 MB
1. Neural Networks - Georgia Tech - Machine Learning.mp4	33.6 MB
12. Sigmoid - Georgia Tech - Machine Learning.mp4	40.8 MB
4. How Powerful is a Perceptron Unit Quiz - Georgia Tech - Machine Learning.mp4	5.0 MB
6.2 How Powerful is a Perceptron Unit NOT Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	16.8 MB
5. How Powerful is a Perceptron Unit OR Quiz - Georgia Tech - Machine Learning.mp4	3.6 MB
3. How Powerful is a Perceptron Unit - Georgia Tech - Machine Learning.mp4	32.7 MB
10. Comparison of Learning Rules - Georgia Tech - Machine Learning.mp4	11.4 MB
16. Preference Bias - Georgia Tech - Machine Learning.mp4	38.7 MB
4.2 How Powerful is a Perceptron Unit Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	13.3 MB
11.2 Comparison of Learning Rules Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	14.4 MB
17. Summary - Georgia Tech - Machine Learning.mp4	9.8 MB
7.2 XOR as Perceptron Network Quiz Solution - Georgia Tech - Machine Learning.mp4	28.3 MB
5.2 How Powerful is a Perceptron Unit OR Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	18.3 MB
6.1 How Powerful is a Perceptron Unit NOT Quiz - Udacity 2016-04-25 10-13-57.jpeg	167.3 KB
2.1 Artificial Neural Networks - Udacity 2016-04-25 10-11-08.jpeg	217.1 KB
13. Neural Network Sketch - Georgia Tech - Machine Learning.mp4	45.7 MB
8. Perceptron Training - Georgia Tech - Machine Learning.mp4	88.1 MB
14. Optimizing Weights - Georgia Tech - Machine Learning.mp4	33.4 MB
15. Restriction Bias - Georgia Tech - Machine Learning.mp4	55.0 MB
7.1 XOR as Perceptron Network - Udacity 2016-04-25 10-14-31.jpeg	197.9 KB
/1. Supervised Learning/14. Ensemble B&B/
8.1 Ensemble Boosting Quiz Two - Udacity 2016-04-25 15-38-37.jpeg	188.2 KB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
13. Final Hypothesis - Georgia Tech - Machine Learning.mp4	16.0 MB
3. Ensemble Learning Algorithm - Georgia Tech - Machine Learning.mp4	11.2 MB
4.2 Ensemble Learning Outputs Quiz Solution - Georgia Tech - Machine Learning.mp4	11.3 MB
9.2 Weak Learning Quiz Solution - Georgia Tech - Machine Learning.mp4	42.5 MB
15.1 Which Hypothesis - Udacity 2016-04-25 15-40-48.jpeg	209.1 KB
10. Boosting In Code - Georgia Tech - Machine Learning.mp4	27.2 MB
Intro to Boosting.pdf	503.4 KB
8. Ensemble Boosting Quiz Two - Georgia Tech - Machine Learning.mp4	1.1 MB
5. Ensemble Learning An Example - Georgia Tech - Machine Learning.mp4	22.8 MB
8.2 Ensemble Boosting Quiz Two Quiz Solution - Georgia Tech - Machine Learning.mp4	13.0 MB
9. Weak Learning Quiz - Georgia Tech - Machine Learning.mp4	21.7 MB
7.2 Ensemble Boosting Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	2.9 MB
17. Back to Boosting - Georgia Tech - Machine Learning.mp4	79.9 MB
18. Boosting Tends to Overfit Quiz - Georgia Tech - Machine Learning.mp4	16.8 MB
12. When D agrees Quiz - Georgia Tech - Machine Learning.mp4	9.3 MB
12.2 When D agrees Quiz Solution - Georgia Tech - Machine Learning.mp4	22.7 MB
4. Ensemble Learning Outputs Quiz - Georgia Tech - Machine Learning.mp4	10.5 MB
6. Ensemble Boosting - Georgia Tech - Machine Learning.mp4	15.5 MB
11. The Most Important Parts - Georgia Tech - Machine Learning.mp4	42.9 MB
4.1 Ensemble Learning Outputs - Udacity 2016-04-25 15-37-24.jpeg	240.9 KB
7.1 Ensemble Boosting Quiz - Udacity 2016-04-25 15-38-10.jpeg	180.1 KB
1. Ensemble Learning Boosting - Georgia Tech - Machine Learning.mp4	27.1 MB
9.1 Weak Learning - Udacity 2016-04-25 15-39-07.jpeg	224.7 KB
19. Summary - Georgia Tech - Machine Learning.mp4	26.5 MB
2. Ensemble Learning Simple Rules - Georgia Tech - Machine Learning.mp4	20.0 MB
12.1 When D agrees - Udacity 2016-04-25 15-39-54.jpeg	228.6 KB
28.2 Boosting Tends to Overfit Quiz Solution - Georgia Tech - Machine Learning.mp4	57.0 MB
15. Which Hypothesis Quiz - Georgia Tech - Machine Learning.mp4	3.3 MB
7. Ensemble Boosting Quiz - Georgia Tech - Machine Learning.mp4	25.2 MB
15.2 Which Hypothesis Quiz Solution - Georgia Tech - Machine Learning.mp4	28.2 MB
18.1 Boosting Tends to Overfit - Udacity 2016-04-25 15-41-43.jpeg	205.4 KB
16. Good Answers - Georgia Tech - Machine Learning.mp4	96.6 MB
14. Three Little Boxes - Georgia Tech - Machine Learning.mp4	64.4 MB
/1. Supervised Learning/6. More Regressions/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
6. Parametric vs non parametric.mp4	16.2 MB
1. Introduction.mp4	3.5 MB
4. How to predict.mp4	3.0 MB
5. Kernel regression.mp4	11.7 MB
3.1 Thresholding function.txt	0.1 KB
4.1 How to predict - Udacity 2016-04-25 10-07-57.jpeg	203.6 KB
6.2 Parametric vs non parametric.mp4	16.4 MB
6.1 Parametric vs non parametric - Udacity 2016-04-25 10-08-35.jpeg	181.2 KB
4.2 How to predict.mp4	4.5 MB
3. K nearest neighbor.mp4	5.8 MB
2. Parametric regression.mp4	32.7 MB
/1. Supervised Learning/5. Regressions/
2. Continuous Quiz - Intro to Machine Learning.mp4	1.6 MB
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
13.1 Intercept Quiz - Udacity 2016-04-24 22-13-02.jpeg	180.3 KB
20. Extracting Score Data from sklearn - Intro to Machine Learning.mp4	13.2 MB
15.1 Adding An Intercept - Udacity 2016-04-24 22-14-07.jpeg	178.8 KB
5.2 Email Author- Cont. or Discrete Solution - Intro to Machine Learning.mp4	2.0 MB
4.2 [sol- weather is discrete] - Intro to Machine Learning.mp4	3.0 MB
15. Adding An Intercept - Intro to Machine Learning.mp4	1.9 MB
8.1 Continuous Feature Quiz - Udacity 2016-04-24 22-10-53.jpeg	192.4 KB
37.1 Multi-Variate Regression Quiz 2 - Udacity 2016-04-25 10-04-47.jpeg	188.6 KB
21. Now You Practice Extracting Information - Udacity 2016-04-25 09-57-24.jpeg	149.5 KB
12.2 Slope Quiz - Intro to Machine Learning.mp4	1.3 MB
37. Outliers in Regression Quiz - Intro to Machine Learning.mp4	7.5 MB
5. Email Author- Continuous Or Discrete- - Intro to Machine Learning.mp4	2.1 MB
4.1 Weather- Continuous or Discrete - Udacity 2016-04-24 22-08-41.jpeg	167.5 KB
6.1 Phone Number- Continuous or Discrete- - Udacity 2016-04-24 22-09-45.jpeg	175.6 KB
9. Supervised Learning w_ Continuous Output - Intro to Machine Learning.mp4	8.2 MB
8. Continuous Feature Quiz - Intro to Machine Learning.mp4	4.3 MB
18. Age_Net Worth Quiz - Intro to Machine Learning.mp4	21.3 MB
24. Errors and Fit Quality - Intro to Machine Learning.mp4	6.3 MB
23. Error Quiz - Intro to Machine Learning.mp4	3.6 MB
18.3 Age_Net Worth Solution - Intro to Machine Learning.mp4	3.6 MB
19. Extracting Information from sklearn - Intro to Machine Learning.mp4	19.4 MB
34.2 What Data Is Good For Linear Regression - Intro to Machine Learning.mp4	27.0 MB
10. Equation of the Regression Line - Intro to Machine Learning.mp4	6.2 MB
32. R Squared in SKlearn - Intro to Machine Learning.mp4	21.9 MB
16. Handoff to Katie - Intro to Machine Learning.mp4	1.6 MB
37.2 03_s - Intro to Machine Learning.mp4	9.7 MB
29.1 Evaluating Regression by Eye - Udacity 2016-04-25 10-01-49.jpeg	194.6 KB
17. Coding It Up - Intro to Machine Learning.mp4	16.2 MB
7.2 [sol- income is continuous] - Intro to Machine Learning.mp4	3.2 MB
3.1 Age- Continuous or Discrete- - Udacity 2016-04-24 22-08-13.jpeg	164.8 KB
11. Slope and Intercept - Intro to Machine Learning.mp4	5.8 MB
13.2 Intercept Quiz - Intro to Machine Learning.mp4	3.7 MB
13. Intercept Quiz - Intro to Machine Learning.mp4	2.3 MB
10.1 Equation of the Regression Line - Udacity 2016-04-24 22-11-52.jpeg	185.5 KB
5.1 Email Author- Continuous or Discrete - Udacity 2016-04-24 22-09-14.jpeg	177.1 KB
4. Weather- Continuous or Discrete- - Intro to Machine Learning.mp4	1.1 MB
1.2 Continuous Output Quiz - Intro to Machine Learning.mp4	6.2 MB
22. Linear Regression Errors - Intro to Machine Learning.mp4	6.2 MB
31. R Squared Metric for Regression - Intro to Machine Learning.mp4	9.3 MB
24.2 Errors and Fit Quality - Intro to Machine Learning.mp4	17.9 MB
12.1 Slope Quiz - Udacity 2016-04-24 22-12-35.jpeg	173.7 KB
14.2 Predictions Using Regression - Intro to Machine Learning.mp4	1.2 MB
29. Evaluating Regression by Eye - Intro to Machine Learning.mp4	4.3 MB
14.1 Predictions Using Regression - Udacity 2016-04-24 22-13-37.jpeg	170.3 KB
36. Multi-variate Regression Quiz - Intro to Machine Learning.mp4	14.2 MB
6. Phone Number- Continuous or Discrete- - Intro to Machine Learning.mp4	2.1 MB
2.2 Continuous Quiz Solution - Intro to Machine Learning.mp4	900.4 KB
27.2 Why Minimize SSE - Intro to Machine Learning.mp4	3.0 MB
7.1 Income- Continuous or Discrete- - Udacity 2016-04-24 22-10-23.jpeg	173.7 KB
6.2 Phone Number Solution - Intro to Machine Learning.mp4	3.0 MB
24.1 Errors and Fit Quality - Udacity 2016-04-25 09-59-56.jpeg	257.0 KB
2.1 Continuous Quiz - Udacity 2016-04-24 22-07-42.jpeg	173.8 KB
29.2 Evaluating Regression by Eye - Intro to Machine Learning.mp4	7.3 MB
23.1 Error Quiz - Udacity 2016-04-25 09-59-23.jpeg	193.6 KB
27.1 Why Minimize SSE - Udacity 2016-04-25 10-00-55.jpeg	188.8 KB
8.2 Continuous Feature Quiz - Intro to Machine Learning.mp4	3.5 MB
30.2 Problem with SSE - Intro to Machine Learning.mp4	10.6 MB
3. Age- Continuous or Discrete- - Intro to Machine Learning.mp4	2.9 MB
36.1 Multivariate Regression Quiz - Udacity 2016-04-25 10-04-14.jpeg	200.4 KB
15.2 Adding An Intercept - Intro to Machine Learning.mp4	4.9 MB
35. Comparing Classification and Regression - Intro to Machine Learning.mp4	11.4 MB
7. Income- Continuous or Discrete- - Intro to Machine Learning.mp4	742.9 KB
18.2 studentRegression.py	0.2 KB
9.2 Supervised Learning w_ Continuous Output - Intro to Machine Learning.mp4	3.0 MB
10.2 Equation of the Regression Line - Intro to Machine Learning.mp4	2.3 MB
23.2 Error Quiz - Intro to Machine Learning.mp4	3.3 MB
9.1 Supervised Learning w- Continuous Output - Udacity 2016-04-24 22-11-22.jpeg	192.0 KB
25. Minimizing Sum of Squared Errors - Intro to Machine Learning.mp4	5.3 MB
34.1 What Data Is Good For Linear Regression - Udacity 2016-04-25 10-03-33.jpeg	256.1 KB
30. Problem with SSE - Intro to Machine Learning.mp4	1.3 MB
26. Algorithms for Minimizing Squared Errors - Intro to Machine Learning.mp4	5.3 MB
21.2 ages_net_worths.py	0.7 KB
33. Visualizing Regression - Intro to Machine Learning.mp4	6.0 MB
3.2 [sol- age is continuous] - Intro to Machine Learning.mp4	382.6 KB
28. Problem with Minimizing Absolute Errors.mp4	8.8 MB
34. What Data Is Good For Linear Regression - Intro to Machine Learning.mp4	4.9 MB
18.1 studentMain.py	0.7 KB
12. Slope Quiz - Intro to Machine Learning.mp4	4.3 MB
27. Why Minimize SSE - Intro to Machine Learning.mp4	3.8 MB
1.1 Continuous Output Quiz - Udacity 2016-04-24 22-07-11.jpeg	158.1 KB
14. Predictions Using Regression - Intro to Machine Learning.mp4	3.7 MB
36.2 Multi-variate Regression Quiz - Intro to Machine Learning.mp4	11.5 MB
30.1 Problem with SSE - Udacity 2016-04-25 10-02-22.jpeg	197.0 KB
21.1 regressionQuiz.py	1.7 KB
1. Continuous Output Quiz - Intro to Machine Learning.mp4	3.5 MB
/.../13. Bayesian Inference/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
7.1 Belief Networks - Udacity 2016-04-25 15-25-17.jpeg	213.8 KB
7. Belief Networks Quiz - Georgia Tech - Machine Learning.mp4	15.7 MB
3.2 Joint Distribution Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	20.3 MB
16. Wrapping Up - Georgia Tech - Machine Learning.mp4	37.4 MB
13. Inference By Hand Quiz - Georgia Tech - Machine Learning.mp4	45.2 MB
7.2 Belief Networks Quiz Solution - Georgia Tech - Machine Learning.mp4	60.5 MB
6.2 Conditional Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	20.8 MB
8.2 Sampling From The Joint Distribution Quiz Solution - Georgia Tech - Machine Learning.mp4	24.4 MB
13.2 Inference By Hand Quiz Solution - Georgia Tech - Machine Learning.mp4	80.0 MB
9. Recovering the Joint Distribution - Georgia Tech - Machine Learning.mp4	25.1 MB
12.1 Inferencing Rules Quiz - Udacity 2016-04-25 15-26-48.jpeg	202.0 KB
6. Conditional Quiz - Georgia Tech - Machine Learning.mp4	8.0 MB
13.1 Inference By Hand - Udacity 2016-04-25 15-27-18.jpeg	201.3 KB
11. Inferencing Rules - Georgia Tech - Machine Learning.mp4	15.6 MB
10. Sampling - Georgia Tech - Machine Learning.mp4	55.1 MB
14. Naive Bayes - Georgia Tech - Machine Learning.mp4	75.3 MB
1. Intro - Georgia Tech - Machine Learning.mp4	12.2 MB
15. Why Naive Bayes Is Cool - Georgia Tech - Machine Learning.mp4	74.2 MB
8. Sampling From The Joint Distribution Quiz - Georgia Tech - Machine Learning.mp4	18.9 MB
3. Joint Distribution Quiz - Georgia Tech - Machine Learning.mp4	6.5 MB
6.1 Conditional Quiz - Udacity 2016-04-25 15-24-48.jpeg	225.2 KB
12.2 Inferencing Rules Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	16.3 MB
12. Inferencing Rules Quiz - Georgia Tech - Machine Learning.mp4	4.8 MB
Bayesian Inference.pdf	396.0 KB
4. Adding Attributes - Georgia Tech - Machine Learning.mp4	20.6 MB
8.1 Sampling From The Joint Distribution - Udacity 2016-04-25 15-25-45.jpeg	203.2 KB
2. Joint Distribution - Georgia Tech - Machine Learning.mp4	18.0 MB
3.1 Joint Distribution Quiz - Udacity 2016-04-25 15-23-43.jpeg	220.4 KB
5. Conditional Independence - Georgia Tech - Machine Learning.mp4	28.6 MB
/.../1. Supervised Learning Into/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
8.1 Features Visualization Quiz - Udacity 2016-04-21 13-45-54.jpeg	190.4 KB
5. Quiz - Intro to Machine Learning.mp4	20.9 MB
6.1 Supervised Classification Example - Udacity 2016-04-21 13-45-10.jpeg	218.7 KB
5.2 Acerous Vs. Non-Acerous.mkv	9.2 MB
1. Supervised Learning.mp4	9.2 MB
7. Features and Labels Musical Example - Intro to Machine Learning.mp4	9.0 MB
9.1 Classification By Eye - Udacity 2016-04-21 13-46-28.jpeg	191.8 KB
6. Supervised Classification Example Quiz - Intro to Machine Learning.mp4	5.2 MB
9. Classification By Eye Quiz - Intro to Machine Learning.mp4	3.8 MB
2. Supervised Learning What Youll Watch and Learn.mp4	6.5 MB
4. Supervised Learning What Youll Do.mp4	4.2 MB
3. ML in The Google Self-Driving Car - Intro to Machine Learning.mp4	39.5 MB
8.2 Features Visualization Solution - Intro to Machine Learning.mp4	1.3 MB
6.2 Supervised Classification Example - Intro to Machine Learning.mp4	6.6 MB
8. Features Visualization Quiz - Intro to Machine Learning.mp4	9.4 MB
9.2 Classification By Eye Solution - Intro to Machine Learning.mp4	4.4 MB
5.1 Acerous Vs. Non-Acerous - Udacity 2016-04-21 13-44-19.jpeg	178.1 KB
/.../11.5 Bayes NLP Mini Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
8. Joint Distribution Analysis - Udacity 2016-05-25 19-13-15.jpeg	216.7 KB
10. Domain Knowledge Fill In - Udacity 2016-05-25 19-13-41.jpeg	229.7 KB
1. Bad Handwriting Exposition - Udacity 2016-05-25 19-09-34.jpeg	167.4 KB
3. Maximum Likelihood.py	1.3 KB
9. Domain Knowledge Quiz - Udacity 2016-05-25 19-13-28.jpeg	202.8 KB
4.1 NLP Disclaimer.txt	0.1 KB
2. Calculations - Udacity 2016-05-25 19-10-04.jpeg	206.9 KB
6. Optimal Classifier Exercise.py	2.3 KB
5. Optimal Classifier Example - Udacity 2016-05-25 19-12-13.jpeg	219.2 KB
4. NLP Disclaimer - Udacity 2016-05-25 19-11-25.jpeg	181.1 KB
7. Which Words Meditation - Udacity 2016-05-25 19-13-03.jpeg	209.4 KB
/.../11. Naive Bayes/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
20.2 Normalizing 2 Solution - Intro to Machine Learning.mp4	283.7 KB
22.2 Total Probability Solution - Intro to Machine Learning.mp4	895.7 KB
3.1 Speed Scatterplot 3 - Udacity 2016-04-25 14-54-38.jpeg	184.1 KB
17.3 Cancer Test - Udacity 2016-04-25 15-01-46.jpeg	236.6 KB
24.2 Bayes Rule for Classification - Intro to Machine Learning.mp4	838.1 KB
22.1 Total Probability - Udacity 2016-04-25 15-04-04.jpeg	220.3 KB
13.3 Accuracy of Naive Bayes - Intro to Machine Learning.mp4	6.2 MB
2.2 Speed Scatterplot 2 - Intro to Machine Learning.mp4	1.2 MB
17.1 Cancer Test - Udacity 2016-04-25 15-01-22.jpeg	225.6 KB
2. Speed Scatterplot 2 - Intro to Machine Learning.mp4	886.0 KB
8. Transition to Using Naive Bayes - Intro to Machine Learning.mp4	1.3 MB
17. Cancer Test - Intro to Machine Learning.mp4	11.7 MB
6.2 Scatterplot to Decision Surface - Intro to Machine Learning.mp4	2.6 MB
18.1 Prior and Posterior - Udacity 2016-04-25 15-02-06.jpeg	190.6 KB
1.2 Speed Scatterplot- Grade and Bumpiness - Intro to Machine Learning.mp4	614.0 KB
4.2 Scatterplots to Predictions - Intro to Machine Learning.mp4	1.2 MB
17.2 Cancer Test Solution - Intro to Machine Learning.mp4	2.8 MB
12.4 ClassifyNB.py	0.3 KB
13.1 classify.py	0.7 KB
6.1 From Scatterplots to Decision Surfaces - Udacity 2016-04-25 14-56-00.jpeg	182.0 KB
7.1 A Good Linear Decision Surface - Udacity 2016-04-25 14-56-28.jpeg	177.5 KB
4.1 From Scatterplots to Predictions - Udacity 2016-04-25 14-55-06.jpeg	165.9 KB
25.2 [sol- Chris or Sara] - Intro to Machine Learning.mp4	4.9 MB
12. GaussianNB Deployment on Terrain Data - Intro to Machine Learning.mp4	8.5 MB
21.1 Normalizing 3 - Udacity 2016-04-25 15-03-30.jpeg	218.5 KB
13. Accuracy of Naive Bayes - Intro to Machine Learning.mp4	9.6 MB
6. Scatterplots to Decision Surface - Intro to Machine Learning.mp4	4.8 MB
5.2 Scatterplots to Predictions 2 - Intro to Machine Learning.mp4	1.2 MB
9. NB Decision Boundary in Python - Intro to Machine Learning.mp4	5.6 MB
18. Prior and Posterior - Intro to Machine Learning.mp4	9.5 MB
7. Good Linear Decision Surface - Intro to Machine Learning.mp4	2.3 MB
28.2 Why Is Naive Bayes Naive - Intro to Machine Learning.mp4	2.6 MB
13.2 studentCode.py	0.4 KB
1. Speed Scatterplot- Grade and Bumpiness - Intro to Machine Learning.mp4	13.1 MB
12.5 Gaussian Deployment Solution - Intro to Machine Learning.mp4	1.9 MB
21. Normalizing 3 - Intro to Machine Learning.mp4	409.2 KB
25.1 Chris or Sara - Udacity 2016-04-25 15-05-11.jpeg	210.9 KB
18.2 Prior and Posterior Solution - Intro to Machine Learning.mp4	1.4 MB
20. Normalizing 2 - Intro to Machine Learning.mp4	1.7 MB
14. Training and Testing Data - Intro to Machine Learning.mp4	19.3 MB
5. Scatterplots to Predictions 2 - Intro to Machine Learning.mp4	1.1 MB
26.2 Posterior Probabilities - Intro to Machine Learning.mp4	4.2 MB
26. Posterior Probabilities - Intro to Machine Learning.mp4	3.1 MB
12.3 prep_terrain_data.py	1.8 KB
24. Bayes Rule for Classification - Intro to Machine Learning.mp4	18.9 MB
23. Bayes Rule Diagram - Intro to Machine Learning.mp4	4.9 MB
12.1 studentMain.py	1.5 KB
19.2 Normalizing 1 Solution - Intro to Machine Learning.mp4	1.2 MB
16. Bayes Rule - Intro to Machine Learning.mp4	1.7 MB
3. Speed Scatterplot 3 - Intro to Machine Learning.mp4	984.2 KB
27. Bayesian Probabilities On Your Own - Intro to Machine Learning.mp4	1.6 MB
13.4 Calculating NB Accuracy - Udacity 2016-04-25 15-00-22.jpeg	277.4 KB
19.1 Normalizing 1 - Udacity 2016-04-25 15-02-37.jpeg	199.2 KB
24.1 Bayes Rule for Classification - Udacity 2016-04-25 15-04-43.jpeg	216.7 KB
11. Gaussian NB Example - Intro to Machine Learning.mp4	27.4 MB
28. Why Is Naive Bayes Naive - Intro to Machine Learning.mp4	14.7 MB
3.2 Speed Scatterplot 3 - Intro to Machine Learning.mp4	5.0 MB
22. Total Probability - Intro to Machine Learning.mp4	274.7 KB
26.1 Posterior Probabilities - Udacity 2016-04-25 15-05-41.jpeg	227.2 KB
25. Chris or Sara - Intro to Machine Learning.mp4	878.9 KB
12.6 GaussianNB Deployment on Terrain Data - Udacity 2016-04-25 14-59-22.jpeg	270.9 KB
27.2 Bayesian Probabilities On Your Own - Intro to Machine Learning.mp4	6.9 MB
5.1 From Scatterplots to Predictions 2 - Udacity 2016-04-25 14-55-35.jpeg	169.4 KB
2.1 Speed Scatterplot 2 - Udacity 2016-04-25 14-54-08.jpeg	180.9 KB
12.2 class_vis.py	1.7 KB
1.1 Speed Scatterplot- Grade and Bumpiness - Udacity 2016-04-25 14-53-38.jpeg	217.3 KB
10. Getting Started With SKlearn - Intro to Machine Learning.mp4	8.2 MB
4. Scatterplots to Predictions - Intro to Machine Learning.mp4	4.7 MB
15. Unpacking NB Using Bayes Rule - Intro to Machine Learning.mp4	2.5 MB
21.2 Normalizing 3 Solution - Intro to Machine Learning.mp4	206.8 KB
19. Normalizing 1 - Intro to Machine Learning.mp4	834.2 KB
20.1 Normalizing 2 - Udacity 2016-04-25 15-03-03.jpeg	209.7 KB
7.2 Good Linear Decision Surface - Intro to Machine Learning.mp4	6.1 MB
27.1 Bayesian Probabilities On Your Own - Udacity 2016-04-25 15-06-10.jpeg	238.9 KB
28.1 Why Is Naive Bayes Naive - Udacity 2016-04-25 15-06-39.jpeg	203.9 KB
/1. Supervised Learning/2. Decision Trees/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
16.2 Decision Tree Expressiveness Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	5.6 MB
23. Decision Trees Other Considerations Regression - Georgia Tech - Machine Learning.mp4	14.8 MB
11. Best Attribute Quiz - Georgia Tech - Machine Learning.mp4	5.0 MB
17. Decision Tree Expressiveness Quiz 2 - Georgia Tech - Machine Learning.mp4	4.3 MB
2.2 Supervised Learning Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	24.8 MB
12. Decision Trees Expressiveness AND - Georgia Tech - Machine Learning.mp4	25.4 MB
2. Supervised Learning Quiz - Georgia Tech - Machine Learning.mp4	6.9 MB
16.1 Decision Tree Expressiveness Quiz - Udacity 2016-04-21 13-54-49.jpeg	231.3 KB
7. Representation - Georgia Tech - Machine Learning.mp4	42.1 MB
5. Classification Learning Three - Georgia Tech - Machine Learning.mp4	36.5 MB
10. Decision Trees Learning - Georgia Tech - Machine Learning.mp4	25.1 MB
3. Classification Learning One - Georgia Tech - Machine Learning.mp4	30.7 MB
20. Decision Trees Continuous Attributes - Georgia Tech - Machine Learning.mp4	31.7 MB
1. Difference between Classification and Regression - Georgia Tech - Machine Learning.mp4	31.5 MB
21. Decision Trees Other Considerations Quiz - Georgia Tech - Machine Learning.mp4	6.2 MB
2.1 Quiz - Udacity 2016-04-21 13-49-52.jpeg	200.8 KB
8. Representation Quiz - Georgia Tech - Machine Learning.mp4	12.3 MB
8.2 Representation Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	39.4 MB
4. Classification Learning Two - Georgia Tech - Machine Learning.mp4	20.8 MB
17.2 Decision Tree Expressiveness Quiz 2 Quiz Solution - Georgia Tech - Machine Learning.mp4	25.7 MB
24. Decision Trees Wrap up - Georgia Tech - Machine Learning.mp4	17.6 MB
16. Decision Tree Expressiveness Quiz - Georgia Tech - Machine Learning.mp4	31.5 MB
9. Example 2- 20 Questions - Georgia Tech - Machine Learning.mp4	47.5 MB
11.1 Best Attribute Quiz - Udacity 2016-04-21 13-52-58.jpeg	197.2 KB
21.2 Decision Trees Other Considerations Quiz Solution - Georgia Tech - Machine Learning.mp4	10.8 MB
17.1 Decision Tree Expressiveness Quiz 2 - Udacity 2016-04-21 13-55-23.jpeg	246.5 KB
ID3 Algorithm for Decision Trees.pdf	961.1 KB
11.2 Best Attribute Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	24.3 MB
19. ID3 Bias - Georgia Tech - Machine Learning.mp4	31.9 MB
22. Decision Trees Other Considerations - Georgia Tech - Machine Learning.mp4	24.8 MB
15. Decision Tree Expressiveness - Georgia Tech - Machine Learning.mp4	68.4 MB
21.1 Decision Trees Other Considerations Quiz - Udacity 2016-04-21 14-01-55.jpeg	223.2 KB
14. Decision Trees Expressiveness XOR.mkv	20.4 MB
18. ID3 - Georgia Tech - Machine Learning.mp4	61.2 MB
8.1 Representation Quiz - Udacity 2016-04-21 13-51-54.jpeg	213.3 KB
13. Decision Trees Expressiveness OR - Georgia Tech - Machine Learning.mp4	18.5 MB
6. Example 1- Dating - Georgia Tech - Machine Learning.mp4	37.8 MB
/1. Supervised Learning/9. SVM/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
10. SVM in SKlearn - Intro to Machine Learning.mp4	11.7 MB
3. Choosing Between Separating Lines - Intro to Machine Learning.mp4	2.6 MB
7. SVM Response to Outliers - Intro to Machine Learning.mp4	5.7 MB
5.1 Practice with Margins - Udacity 2016-04-25 14-31-36.jpeg	175.2 KB
14.1 Nonlinear Data - Udacity 2016-04-25 14-35-25.jpeg	157.0 KB
23. Overfitting - Intro to Machine Learning.mp4	8.5 MB
4.1 What Makes A Good Separating Line - Udacity 2016-04-25 14-31-04.jpeg	192.6 KB
8.1 SVM Outlier Practice - Udacity 2016-04-25 14-32-58.jpeg	154.0 KB
8. SVM Outlier Practice - Intro to Machine Learning.mp4	2.6 MB
19. Kernel Trick - Intro to Machine Learning.mp4	11.0 MB
20.1 Playing Around with Kernel Choices - Udacity 2016-04-25 14-37-45.jpeg	248.3 KB
12. sklearn SVM Documentation - Intro to Machine Learning.mp4	12.6 MB
14. Nonlinear Data - Intro to Machine Learning.mp4	4.6 MB
6.2 SVMs and Tricky Data Distributions - Intro to Machine Learning.mp4	6.5 MB
6.1 SVMs and Tricky Data Distributions - Udacity 2016-04-25 14-32-05.jpeg	167.0 KB
2. Separating Line - Intro to Machine Learning.mp4	6.7 MB
15.1 A New Feature - Udacity 2016-04-25 14-35-54.jpeg	234.8 KB
23.1 Overfitting - Udacity 2016-04-25 14-39-26.jpeg	185.4 KB
5. Practice With Margins - Intro to Machine Learning.mp4	1.5 MB
12.2 Coding Up the SVM - Intro to Machine Learning.mp4	6.8 MB
5.2 Practice With Margins - Intro to Machine Learning.mp4	5.8 MB
7.1 SVM Response to Outliers - Udacity 2016-04-25 14-32-31.jpeg	180.9 KB
7.2 SVM Response to Outliers - Intro to Machine Learning.mp4	4.3 MB
18.1 Practice Making a New Feature - Udacity 2016-04-25 14-37-02.jpeg	161.4 KB
15. A New Feature - Intro to Machine Learning.mp4	8.6 MB
20. Playing Around with Kernel Choices - Intro to Machine Learning.mp4	21.5 MB
2.2 Separating Line - Intro to Machine Learning.mp4	966.4 KB
21. Kernel and Gamma - Intro to Machine Learning.mp4	11.9 MB
1. Welcome to SVM - Intro to Machine Learning.mp4	5.1 MB
17.2 Separating with the New Feature - Intro to Machine Learning.mp4	4.0 MB
22. SVM C Parameter - Intro to Machine Learning.mp4	14.0 MB
13. Nonlinear SVMs - Intro to Machine Learning.mp4	7.3 MB
6. SVMs and Tricky Data Distributions - Intro to Machine Learning.mp4	1.8 MB
20.2 Playing Around with Kernel Choices - Intro to Machine Learning.mp4	5.3 MB
24. SVM Strengths and Weaknesses - Intro to Machine Learning.mp4	12.3 MB
21.1 Kernel and Gamma - Udacity 2016-04-25 14-38-17.jpeg	241.2 KB
21.2 Kernel and Gamma - Intro to Machine Learning.mp4	3.1 MB
17. Separating with the New Feature - Intro to Machine Learning.mp4	1.3 MB
4.2 What Makes A Good Separating Line.mkv	3.1 MB
23.2 Overfitting - Intro to Machine Learning.mp4	1.7 MB
11. SVM Decision Boundary - Intro to Machine Learning.mp4	6.5 MB
22.1 SVM C Parameter - Udacity 2016-04-25 14-38-57.jpeg	228.8 KB
22.2 SVM C Parameter - Intro to Machine Learning.mp4	5.4 MB
12.1 Coding Up the SVM.py	0.8 KB
4. What Makes A Good Separating Line - Intro to Machine Learning.mp4	7.4 MB
17.1 Separating with the New Feature - Udacity 2016-04-25 14-36-31.jpeg	182.2 KB
15.2 A New Feature - Intro to Machine Learning.mp4	566.0 KB
8.2 SVM Outlier Practice - Intro to Machine Learning.mp4	5.5 MB
9. Handoff to Katie - Intro to Machine Learning.mp4	1.0 MB
18. Practice Making a New Feature - Intro to Machine Learning.mp4	4.7 MB
3.2 Choosing Between Separating Lines - Intro to Machine Learning.mp4	554.5 KB
18.2 Practice Making a New Feature - Intro to Machine Learning.mp4	9.5 MB
16. Visualizing the New Feature - Intro to Machine Learning.mp4	9.6 MB
14.2 Nonlinear Data - Intro to Machine Learning.mp4	2.2 MB
3.1 Choosing Between Separating Lines - Udacity 2016-04-25 14-30-38.jpeg	169.9 KB
2.1 Separating Line - Udacity 2016-04-25 14-30-09.jpeg	157.3 KB
/.../3. More Decision Trees/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
29.2 Information Gain Calculation Part 9 - Intro to Machine Learning.mp4	2.3 MB
17.1 Entropy Calculation Part 3 - Udacity 2016-04-21 14-25-18.jpeg	232.8 KB
4. Constructing a Decision Tree 2nd Split - Intro to Machine Learning.mp4	2.2 MB
13.1 Minimizing Impurity in Splitting - Udacity 2016-04-21 14-13-31.jpeg	248.8 KB
15.1 Entropy Calculation Part 1 - Udacity 2016-04-21 14-14-28.jpeg	227.4 KB
18. Entropy Calculation Part 4 - Intro to Machine Learning.mp4	1.7 MB
24.2 Information Gain Calculation Part 4 - Intro to Machine Learning.mp4	641.8 KB
28. Information Gain Calculation Part 8 - Intro to Machine Learning.mp4	526.0 KB
15. Entropy Calculation Part 1 - Intro to Machine Learning.mp4	7.3 MB
28.2 Information Gain Part 8 Solution - Intro to Machine Learning.mp4	980.3 KB
16. Entropy Calculation Part 2 - Intro to Machine Learning.mp4	839.0 KB
26. Information Gain Calculation Part 6 - Intro to Machine Learning.mp4	6.6 MB
11.1 Decision Tree Accuracy.py	0.8 KB
26.1 Information Gain Calculation Part 6 - Udacity 2016-04-21 14-20-31.jpeg	262.6 KB
24. Information Gain Calculation Part 4 - Intro to Machine Learning.mp4	1.1 MB
12. Data Impurity and Entropy - Intro to Machine Learning.mp4	12.5 MB
23. Information Gain Calculation Part 3.mp4	483.5 KB
18.2 Entropy Calculation Part 4 - Intro to Machine Learning.mp4	1.2 MB
23.1 Information Gain Calculation Part 3 - Udacity 2016-04-21 14-18-56.jpeg	256.2 KB
25. Information Gain Calculation Part 5 - Intro to Machine Learning.mp4	10.5 MB
11. Decision Tree Accuracy - Intro to Machine Learning.mp4	1.3 MB
25.2 Information Gain Calculation Part 5 - Intro to Machine Learning.mp4	1.1 MB
24.1 Information Gain Calculation Part 4 - Udacity 2016-04-21 14-19-26.jpeg	234.5 KB
8.1 Decision Tree Accuracy.py	0.6 KB
32. Bias-Variance Dilemma - Intro to Machine Learning.mp4	23.8 MB
29.1 Information Gain Calculation Part 9 - Udacity 2016-04-21 14-22-09.jpeg	257.5 KB
29. Information Gain Calculation Part 9 - Intro to Machine Learning.mp4	552.3 KB
6.1 Constructing A Decision Tree-Third Split - Udacity 2016-04-21 14-09-06.jpeg	200.5 KB
26.2 Information Gain Calculation Part 6 - Intro to Machine Learning.mp4	3.5 MB
33. DT Strengths and Weaknesses - Intro to Machine Learning.mp4	17.5 MB
22.2 Information Gain Calculation Part 2 - Intro to Machine Learning.mp4	1.2 MB
11.2 Decision Tree Accuracy - Intro to Machine Learning.mp4	6.8 MB
17.2 Entropy Calculation Part 3 - Intro to Machine Learning.mp4	997.1 KB
22. Information Gain Calculation Part 2 - Intro to Machine Learning.mp4	999.9 KB
19.2 Entropy Calculation Part 5 - Intro to Machine Learning.mp4	5.2 MB
1.1 Linearly Separable Data - Intro to Machine Learning.mp4	694.5 KB
7. Coding A Decision Tree - Intro to Machine Learning.mp4	15.6 MB
13. Minimizing Impurity in Splitting - Intro to Machine Learning.mp4	5.2 MB
27.1 Information Gain Calculation Part 7 - Udacity 2016-04-21 14-21-06.jpeg	235.3 KB
21.1 Information Gain Calculation Part 1 - Udacity 2016-04-21 14-17-33.jpeg	225.5 KB
4.1 Constructing a Decision Tree 2nd Split - Udacity 2016-04-21 14-08-02.jpeg	188.8 KB
15.2 Entropy Calculation Part 1 - Intro to Machine Learning.mp4	268.8 KB
7.1 Coding A Decision Tree.py	0.7 KB
10.2 Min Samples Split - Intro to Machine Learning.mp4	5.2 MB
3.2 Constructing a Decision Tree First Split - Intro to Machine Learning.mp4	4.2 MB
31. Tuning Criterion Parameter - Intro to Machine Learning.mp4	8.0 MB
3. Constructing a Decision Tree First Split - Intro to Machine Learning.mp4	4.7 MB
18.1 Entropy Calculation Part 4 - Udacity 2016-04-21 14-16-10.jpeg	217.1 KB
30. Information Gain Calculation Part 10 - Intro to Machine Learning.mp4	2.3 MB
16.1 Entropy Calculation Part 2 - Udacity 2016-04-21 14-14-58.jpeg	223.2 KB
3.1 Constructing a Decision Tree First Split - Udacity 2016-04-21 14-07-29.jpeg	182.4 KB
21. Information Gain Calculation Part 1 - Intro to Machine Learning.mp4	4.4 MB
8.2 Decision Tree Accuracy - Intro to Machine Learning.mp4	3.6 MB
20. Information Gain - Intro to Machine Learning.mp4	5.5 MB
9. Decision Tree Parameters - Intro to Machine Learning.mp4	20.4 MB
1.2 Linearly Separable Data - Udacity 2016-04-21 14-05-57.jpeg	179.3 KB
2.2 Multiple Linear Questions - Intro to Machine Learning.mp4	7.7 MB
2. Multiple Linear Questions - Intro to Machine Learning.mp4	6.7 MB
13.2 Minimizing Impurity in Splitting - Intro to Machine Learning.mp4	3.5 MB
6.2 Constructing A Decision Tree_Third Split - Intro to Machine Learning.mp4	6.5 MB
5. Class Labels After Second Split - Intro to Machine Learning.mp4	1.5 MB
4.2 Constructing a Decision Tree 2nd Split - Intro to Machine Learning.mp4	2.5 MB
28.1 Information Gain Calculation Part 8 - Udacity 2016-04-21 14-21-37.jpeg	259.6 KB
9.1 Decision Tree Parameters - Udacity 2016-04-21 14-11-37.jpeg	175.7 KB
9.2 Decision Tree Parameters - Intro to Machine Learning.mp4	5.1 MB
27.2 Information Gain Part 7 Solution - Intro to Machine Learning.mp4	454.6 KB
14. Formula of Entropy - Intro to Machine Learning.mp4	2.6 MB
10. Min Samples Split - Intro to Machine Learning.mp4	4.5 MB
16.2 Entropy Calculation Part 2 - Intro to Machine Learning.mp4	581.9 KB
19.1 Entropy Calculation Part 5 - Udacity 2016-04-21 14-16-46.jpeg	237.9 KB
25.1 Information Gain Calculation Part 5 - Udacity 2016-04-21 14-19-58.jpeg	282.8 KB
2.1 Multiple Linear Questions - Udacity 2016-04-21 14-06-55.jpeg	190.7 KB
30.1 Information Gain Calculation Part 10 - Udacity 2016-04-21 14-22-58.jpeg	254.1 KB
8. Decision Tree Accuracy - Intro to Machine Learning.mp4	1.5 MB
5.2 Labels After Second Split - Intro to Machine Learning.mp4	1.4 MB
22.1 Information Gain Calculation Part 2 - Udacity 2016-04-21 14-18-09.jpeg	236.5 KB
30.2 Information Gain Calculation Part 10 - Intro to Machine Learning.mp4	10.1 MB
21.2 Information Gain Calculation Part 1 - Intro to Machine Learning.mp4	3.3 MB
10.1 Min Samples Split - Udacity 2016-04-21 14-12-08.jpeg	215.7 KB
14.1 Formula of Entropy - Udacity 2016-04-21 14-14-05.jpeg	282.2 KB
17. Entropy Calculation Part 3 - Intro to Machine Learning.mp4	1.7 MB
5.1 Class Labels After Second Split - Udacity 2016-04-21 14-08-33.jpeg	189.6 KB
7.2 Coding A Decision Tree - Intro to Machine Learning.mp4	12.4 MB
6. Constructing A Decision Tree_Third Split - Intro to Machine Learning.mp4	958.1 KB
27. Information Gain Calculation Part 7 - Intro to Machine Learning.mp4	2.2 MB
1. Linearly Separable Data - Intro to Machine Learning.mp4	11.1 MB
23.2 Information Gain Calculation Part 3 - Intro to Machine Learning.mp4	1.0 MB
19. Entropy Calculation Part 5 - Intro to Machine Learning.mp4	994.5 KB
/.../8. Kernel Methods & SVMs/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
3. Distance Between Planes Quiz - Georgia Tech - Machine Learning.mp4	5.1 MB
9. Kernel - Georgia Tech - Machine Learning.mp4	50.0 MB
5. Still More Support Vector Machines - Georgia Tech - Machine Learning.mp4	19.5 MB
Kernel_Methods_and_SVMs.pdf	352.9 KB
1. The Best Line Quiz - Georgia Tech - Machine Learning.mp4	6.3 MB
4. Still Support Vector Machines - Georgia Tech - Machine Learning.mp4	44.6 MB
8.2 What is the Output Quiz Solution - Georgia Tech - Machine Learning.mp4	73.3 MB
1.2 The Best Line Quiz Solution - Georgia Tech - Machine Learning.mp4	41.0 MB
8. What is the Output Quiz - Georgia Tech - Machine Learning.mp4	4.7 MB
6.1 Optimal Separator - Udacity 2016-04-25 10-26-22.jpeg	199.6 KB
6.1 Optimal Separator - Udacity 2016-04-25 10-26-22 (1).jpeg	199.6 KB
1.1 The Best Line - Udacity 2016-04-25 10-24-33.jpeg	170.2 KB
6.2 Optimal Separator Quiz Solution - Georgia Tech - Machine Learning.mp4	10.3 MB
2. Support Vector Machine - Georgia Tech - Machine Learning.mp4	52.8 MB
11. Summary For Real - Georgia Tech - Machine Learning.mp4	4.3 MB
7. Linearly Married - Georgia Tech - Machine Learning.mp4	36.6 MB
3.1 Distance Between Planes - Udacity 2016-04-25 10-25-33.jpeg	198.0 KB
10. Summary - Georgia Tech - Machine Learning.mp4	27.9 MB
6. Optimal Separator Quiz - Georgia Tech - Machine Learning.mp4	3.5 MB
3.2 Distance Between Planes Quiz Solution - Georgia Tech - Machine Learning.mp4	28.8 MB
8.1 What is the Output - Udacity 2016-04-25 10-27-02.jpeg	218.7 KB
/.../10. Instance Based Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
8. K NN Bias - Georgia Tech - Machine Learning.mp4	73.7 MB
5. K NN - Georgia Tech - Machine Learning.mp4	48.2 MB
6. Wont You Compute My Neighbors Quiz - Georgia Tech - Machine Learning.mp4	26.4 MB
Instance Based Learning.pdf	167.7 KB
6.2 Wont You Compute My Neighbors Quiz Solution - Georgia Tech - Machine Learning.mp4	71.2 MB
11. Some Other Stuff - Georgia Tech - Machine Learning.mp4	62.9 MB
10. Curse of Dimensionality Two - Georgia Tech - Machine Learning.mp4	65.2 MB
2. Instance Based Learning Now - Georgia Tech - Machine Learning.mp4	38.2 MB
7.1 Domain K NNowledge - Udacity 2016-04-25 14-42-32.jpeg	208.6 KB
3. Cost of the House - Georgia Tech - Machine Learning.mp4	39.7 MB
9. Curse of Dimensionality - Georgia Tech - Machine Learning.mp4	23.9 MB
4. Cost of the House Two - Georgia Tech - Machine Learning.mp4	44.4 MB
6.1 Wont You Compute My Neighbors - Udacity 2016-04-25 14-41-59.jpeg	233.6 KB
1. Instance Based Learning Before - Georgia Tech - Machine Learning.mp4	14.4 MB
7. Domain K NNowledge Quiz - Georgia Tech - Machine Learning.mp4	16.7 MB
7.2 Domain K NNowledge Quiz Solution - Georgia Tech - Machine Learning.mp4	43.8 MB
12. What Have We Learned - Georgia Tech - Machine Learning.mp4	55.4 MB
/1. Supervised Learning/4. Regression & Classification/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
8.2 Errors Quiz Solution - Georgia Tech - Machine Learning.mp4	4.5 MB
4. Quiz - Georgia Tech - Machine Learning.mp4	8.1 MB
4.2 Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	33.5 MB
8.1 Errors - Udacity 2016-04-21 14-29-45.jpeg	203.8 KB
5. Order of Polynomial - Georgia Tech - Machine Learning.mp4	33.4 MB
3.1 Linear Regression Review.pdf	198.6 KB
1.2 Regression Quiz Solution - Georgia Tech - Machine Learning.mp4	14.5 MB
8. Errors Quiz - Georgia Tech - Machine Learning.mp4	36.6 MB
2. Regression and Function Approximation - Georgia Tech - Machine Learning.mp4	35.8 MB
11. Other Input Spaces - Georgia Tech - Machine Learning.mp4	48.7 MB
9.1 Cross Validation - Udacity 2016-04-21 14-30-22.jpeg	184.9 KB
7. Polynomial Regression.mp4	40.7 MB
6.1 Pick the Degree - Udacity 2016-04-21 14-28-46.jpeg	223.2 KB
1.1 What is Regression- - Udacity 2016-04-21 14-26-33.jpeg	159.5 KB
6.2 Pick the Degree Quiz - Georgia Tech - Machine Learning.mp4	11.1 MB
12. Conclusion - Georgia Tech - Machine Learning.mp4	10.0 MB
1. Regression Quiz - Georgia Tech - Machine Learning.mp4	20.0 MB
4.1 Find the best fit - Udacity 2016-04-21 14-28-04.jpeg	187.5 KB
9. Cross Validation - Georgia Tech - Machine Learning.mp4	60.1 MB
3. Linear Regression - Georgia Tech - Machine Learning.mp4	32.2 MB
6. Pick the Degree Quiz - Georgia Tech - Machine Learning.mp4	7.3 MB
10. Housing Example Revisited - Georgia Tech - Machine Learning.mp4	40.7 MB
/.../12. Bayesian Learning/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
11. Which Tree Quiz - Georgia Tech - Machine Learning.mp4	461.4 KB
9.1 Best hypothesis - Udacity 2016-04-25 15-11-27.jpeg	166.5 KB
13. Summary - Georgia Tech - Machine Learning.mp4	30.6 MB
7. Noisy Data Quiz - Georgia Tech - Machine Learning.mp4	18.7 MB
6. Bayesian Learning in Action - Georgia Tech - Machine Learning.mp4	79.3 MB
9. Best hypothesis Quiz - Georgia Tech - Machine Learning.mp4	9.9 MB
7.2 Noisy Data Quiz Solution - Georgia Tech - Machine Learning.mp4	26.0 MB
2. Bayes Rule - Georgia Tech - Machine Learning.mp4	46.1 MB
8. Return to Bayesian Learning - Georgia Tech - Machine Learning.mp4	132.6 MB
Bayesian Learning.pdf	493.3 KB
12. Bayesian Classification Quiz - Georgia Tech - Machine Learning.mp4	14.2 MB
7.1 Noisy Data - Udacity 2016-04-25 15-10-44.jpeg	178.1 KB
4. Bayes Rule Quiz - Georgia Tech - Machine Learning.mp4	19.8 MB
1. Intro - Georgia Tech - Machine Learning.mp4	16.0 MB
4.2 Bayes Rule Quiz Quiz Solution - Georgia Tech - Machine Learning.mp4	79.8 MB
3. Bayes Rule p2 - Georgia Tech - Machine Learning.mp4	35.2 MB
4.1 Bayes Rule Quiz - Udacity 2016-04-25 15-09-56.jpeg	207.7 KB
5. Bayesian Learning - Georgia Tech - Machine Learning.mp4	45.2 MB
10. Minimum Description Length - Georgia Tech - Machine Learning.mp4	36.4 MB
11.2 Which Tree Quiz Solution - Georgia Tech - Machine Learning.mp4	59.2 MB
11.1 Which Tree - Udacity 2016-04-25 15-12-08.jpeg	211.3 KB
9.2 Best hypothesis Quiz Solution - Georgia Tech - Machine Learning.mp4	35.2 MB
/.../7.5 Neural Nets Mini-project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
12. Continuity - Udacity 2016-05-25 19-18-18.jpeg	136.8 KB
15. Perceptron Vs Sigmoid - Udacity 2016-05-25 19-18-58.jpeg	216.4 KB
10. Build the XOR Network.py	1.5 KB
3. Where to train Perceptrons - Udacity 2016-05-25 19-15-35.jpeg	206.6 KB
19. Prediction Method.py	2.5 KB
7. Perceptron Update Rule.py	1.5 KB
21. BackPropagation.py	5.2 KB
4. Perceptron Versus Regression - Udacity 2016-05-25 19-15-46.jpeg	243.4 KB
20. BackProp Deltas.py	3.8 KB
18. Sigmoid Programming Exercise.py	2.2 KB
8. Layered Network Example - Udacity 2016-05-25 19-16-41.jpeg	241.8 KB
5. Perceptron Inputs - Udacity 2016-05-25 19-15-57.jpeg	211.3 KB
6. Neural Net Outputs - Udacity 2016-05-25 19-16-08.jpeg	192.1 KB
9. Linear Representational Power - Udacity 2016-05-25 19-16-53.jpeg	271.2 KB
11. Discretion Quiz - Udacity 2016-05-25 19-18-07.jpeg	247.4 KB
1.Build a Perceptron.py	0.9 KB
13. Activation Function Sandbox.py	0.7 KB
2. Threshold Meditation - Udacity 2016-05-25 19-15-20.jpeg	183.0 KB
14. Activation Function Quiz - Udacity 2016-05-25 19-18-45.jpeg	226.6 KB
16. Sigmoid Learning - Udacity 2016-05-25 19-19-10.jpeg	206.4 KB
17. Gradient Descent Issues - Udacity 2016-05-25 19-19-21.jpeg	233.0 KB
/7. P5 Capstone Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
/2. Project/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
7. Evaluation & Submission - Udacity 2016-04-27 21-58-08.jpeg	197.4 KB
3. Capstone Project Guidelines pt. 1 - Udacity 2016-04-27 21-54-34.jpeg	628.8 KB
6. Capstone Project Suggestions - Udacity 2016-04-27 21-55-35.jpeg	253.6 KB
6.1 Capstone Project Suggestions.txt	0.7 KB
7.2 Evaluation & Submission.txt	0.1 KB
1. Project Overview and Highlights - Udacity 2016-04-27 21-53-45.jpeg	316.1 KB
8. P5- Capstone Project - Udacity 2016-04-27 21-58-43.jpeg	233.4 KB
4.1 Capstone Project Guidelines pt. 2.txt	0.1 KB
5. Software and Deliverables - Udacity 2016-04-27 21-55-25.jpeg	258.2 KB
2.1 Project Description.txt	0.2 KB
4. Capstone Project Guidelines pt. 2 - Udacity 2016-04-27 21-55-00.jpeg	515.9 KB
3.1 Capstone Project Guidelines pt. 1.txt	0.1 KB
2. Project Description - Udacity 2016-04-27 21-54-00.jpeg	265.2 KB
/.../1. Introduction To Specializations/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1. Specializations.mp4	10.6 MB
2. Specializations What Youll Watch.mp4	8.3 MB
3. Specializations What Youll Do.mp4	8.9 MB
/2. P0 Titanic Survival Exploration/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
Titanic_Survival_Exploration.ipynb	20.3 KB
titanic_data.csv	61.2 KB
titanic_visualizations.py	5.4 KB
/.../Titinic Survival Exploration/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1.Project Overview and Software - Udacity 2016-04-19 22-12-54.jpeg	324.8 KB
1.2 Starting the Project and Deliverables - Udacity 2016-04-19 22-13-12.jpeg	424.6 KB
/Submission/
Udacity Machine Learning Engineer Nanodegree.mp4	1.7 MB
1.P0- Titanic Survival Exploration - Udacity 2016-04-19 22-16-59.jpeg	265.7 KB
Total files 1721