Tutorialsplanet NET Udemy Unsupervised Machine Learning Hidden Markov Models in Python

Tutorialsplanet NET Udemy Unsupervised Machine Learning Hidden Markov Models in Python

Name	[Tutorialsplanet.NET] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python	DOWNLOAD Copy Link
Total Size	1.8 GB
Total Files	127
Hash	9C93AF0981FACD4813A4EEA097FBCB5973C6CAD2

/1. Introduction and Outline/
1. Introduction and Outline Why would you want to use an HMM.mp4	7.1 MB
1. Introduction and Outline Why would you want to use an HMM.srt	6.1 KB
2. Unsupervised or Supervised.mp4	5.5 MB
2. Unsupervised or Supervised.srt	4.1 KB
3. Where to get the Code and Data.mp4	2.2 MB
3. Where to get the Code and Data.srt	2.0 KB
4. How to Succeed in this Course.mp4	3.5 MB
4. How to Succeed in this Course.srt	4.3 KB
/10. Setting Up Your Environment/
1. Windows-Focused Environment Setup 2018.mp4	195.4 MB
1. Windows-Focused Environment Setup 2018.srt	21.9 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	15.8 KB
/11. Extra Help With Python Coding for Beginners/
1. How to Code by Yourself (part 1).mp4	25.7 MB
1. How to Code by Yourself (part 1).srt	24.9 KB
2. How to Code by Yourself (part 2).mp4	15.5 MB
2. How to Code by Yourself (part 2).srt	14.4 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	15.4 KB
4. Python 2 vs Python 3.mp4	8.2 MB
4. Python 2 vs Python 3.srt	6.8 KB
/12/
1. How to Succeed in this Course (Long Version).mp4	19.2 MB
1. How to Succeed in this Course (Long Version).srt	15.8 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	34.7 KB
3. What order should I take your courses in (part 1).mp4	30.8 MB
3. What order should I take your courses in (part 1).srt	17.5 KB
4. What order should I take your courses in (part 2).mp4	39.5 MB
4. What order should I take your courses in (part 2).srt	25.7 KB
/13. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.9 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt	8.4 KB
/2. Markov Models/
1. The Markov Property.mp4	25.2 MB
1. The Markov Property.srt	7.1 KB
2. Markov Models.mp4	34.1 MB
2. Markov Models.srt	9.5 KB
3. The Math of Markov Chains.mp4	25.1 MB
3. The Math of Markov Chains.srt	7.5 KB
/3. Markov Models Example Problems and Applications/
1. Example Problem Sick or Healthy.mp4	5.8 MB
1. Example Problem Sick or Healthy.srt	4.9 KB
2. Example Problem Expected number of continuously sick days.mp4	4.9 MB
2. Example Problem Expected number of continuously sick days.srt	3.8 KB
3. Example application SEO and Bounce Rate Optimization.mp4	16.6 MB
3. Example application SEO and Bounce Rate Optimization.srt	10.9 KB
4. Example Application Build a 2nd-order language model and generate phrases.mp4	28.3 MB
4. Example Application Build a 2nd-order language model and generate phrases.srt	14.2 KB
5. Example Application Google’s PageRank algorithm.mp4	9.1 MB
5. Example Application Google’s PageRank algorithm.srt	7.5 KB
6. Suggestion Box.mp4	16.9 MB
6. Suggestion Box.srt	5.1 KB
/4. Hidden Markov Models for Discrete Observations/
1. From Markov Models to Hidden Markov Models.mp4	10.7 MB
1. From Markov Models to Hidden Markov Models.srt	9.0 KB
10. HMM Training (part 1).mp4	21.6 MB
10. HMM Training (part 1).srt	6.3 KB
11. HMM Training (part 2).mp4	41.9 MB
11. HMM Training (part 2).srt	12.9 KB
12. HMM Training (part 3).mp4	63.1 MB
12. HMM Training (part 3).srt	16.9 KB
13. HMM Training (part 4).mp4	58.3 MB
13. HMM Training (part 4).srt	15.2 KB
14. How to Choose the Number of Hidden States.mp4	35.5 MB
14. How to Choose the Number of Hidden States.srt	10.2 KB
15. Baum-Welch Updates for Multiple Observations.mp4	7.8 MB
15. Baum-Welch Updates for Multiple Observations.srt	6.5 KB
16. Discrete HMM in Code.mp4	49.7 MB
16. Discrete HMM in Code.srt	15.8 KB
17. The underflow problem and how to solve it.mp4	8.0 MB
17. The underflow problem and how to solve it.srt	7.1 KB
18. Discrete HMM Updates in Code with Scaling.mp4	30.6 MB
18. Discrete HMM Updates in Code with Scaling.srt	9.2 KB
19. Scaled Viterbi Algorithm in Log Space.mp4	9.7 MB
19. Scaled Viterbi Algorithm in Log Space.srt	2.8 KB
2. HMM - Basic Examples.mp4	44.4 MB
2. HMM - Basic Examples.srt	11.0 KB
3. Parameters of an HMM.mp4	32.8 MB
3. Parameters of an HMM.srt	9.6 KB
4. The 3 Problems of an HMM.mp4	29.4 MB
4. The 3 Problems of an HMM.srt	8.3 KB
5. The Forward-Backward Algorithm (part 1).mp4	68.3 MB
5. The Forward-Backward Algorithm (part 1).srt	21.8 KB
6. The Forward-Backward Algorithm (part 2).mp4	28.9 MB
6. The Forward-Backward Algorithm (part 2).srt	8.9 KB
7. The Forward-Backward Algorithm (part 3).mp4	27.2 MB
7. The Forward-Backward Algorithm (part 3).srt	9.8 KB
8. The Viterbi Algorithm (part 1).mp4	28.9 MB
8. The Viterbi Algorithm (part 1).srt	7.9 KB
9. The Viterbi Algorithm (part 2).mp4	62.2 MB
9. The Viterbi Algorithm (part 2).srt	18.9 KB
/5. Discrete HMMs Using Deep Learning Libraries/
1. Gradient Descent Tutorial.mp4	23.9 MB
1. Gradient Descent Tutorial.srt	6.0 KB
2. Theano Scan Tutorial.mp4	24.9 MB
2. Theano Scan Tutorial.srt	13.1 KB
3. Discrete HMM in Theano.mp4	32.2 MB
3. Discrete HMM in Theano.srt	8.6 KB
4. Improving our Gradient Descent-Based HMM.mp4	27.2 MB
4. Improving our Gradient Descent-Based HMM.srt	6.9 KB
5. Tensorflow Scan Tutorial.mp4	24.2 MB
5. Tensorflow Scan Tutorial.srt	16.3 KB
6. Discrete HMM in Tensorflow.mp4	17.3 MB
6. Discrete HMM in Tensorflow.srt	9.7 KB
/6. HMMs for Continuous Observations/
1. Gaussian Mixture Models with Hidden Markov Models.mp4	17.3 MB
1. Gaussian Mixture Models with Hidden Markov Models.srt	5.6 KB
2. Generating Data from a Real-Valued HMM.mp4	15.7 MB
2. Generating Data from a Real-Valued HMM.srt	4.7 KB
3. Continuous-Observation HMM in Code (part 1).mp4	49.0 MB
3. Continuous-Observation HMM in Code (part 1).srt	13.4 KB
4. Continuous-Observation HMM in Code (part 2).mp4	16.0 MB
4. Continuous-Observation HMM in Code (part 2).srt	3.4 KB
5. Continuous HMM in Theano.mp4	47.6 MB
5. Continuous HMM in Theano.srt	12.2 KB
6. Continuous HMM in Tensorflow.mp4	23.5 MB
6. Continuous HMM in Tensorflow.srt	11.9 KB
/7. HMMs for Classification/
1. Generative vs. Discriminative Classifiers.mp4	4.3 MB
1. Generative vs. Discriminative Classifiers.srt	3.7 KB
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4	25.6 MB
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt	9.0 KB
/8. Bonus Example Parts-of-Speech Tagging/
1. Parts-of-Speech Tagging Concepts.mp4	8.9 MB
1. Parts-of-Speech Tagging Concepts.srt	7.2 KB
2. POS Tagging with an HMM.mp4	15.1 MB
2. POS Tagging with an HMM.srt	5.3 KB
/9. Theano, Tensorflow, and Machine Learning Basics Review/
1. (Review) Gaussian Mixture Models.mp4	5.2 MB
1. (Review) Gaussian Mixture Models.srt	3.8 KB
2. (Review) Theano Tutorial.mp4	20.8 MB
2. (Review) Theano Tutorial.srt	8.1 KB
3. (Review) Tensorflow Tutorial.mp4	14.6 MB
3. (Review) Tensorflow Tutorial.srt	6.6 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 127