GigaCourse com Udemy Unsupervised Machine Learning Hidden Markov Models in Python

GigaCourse com Udemy Unsupervised Machine Learning Hidden Markov Models in Python

Name	[GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python	DOWNLOAD Copy Link
Total Size	1.2 GB
Total Files	116
Hash	67A5096D7FDE3E8218E108AC5F1EA1D4A8BD09BD

/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.vtt	5.6 KB
2. Unsupervised or Supervised.mp4	5.5 MB
2. Unsupervised or Supervised.vtt	3.8 KB
3. Where to get the Code and Data.mp4	2.2 MB
3. Where to get the Code and Data.vtt	1.8 KB
4. How to Succeed in this Course.mp4	3.5 MB
4. How to Succeed in this Course.vtt	3.8 KB
/10. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.5 KB
10. What order should I take your courses in (part 1).mp4	30.8 MB
10. What order should I take your courses in (part 1).vtt	15.5 KB
11. What order should I take your courses in (part 2).mp4	39.5 MB
11. What order should I take your courses in (part 2).vtt	22.8 KB
12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt	3.4 KB
2. Windows-Focused Environment Setup 2018.mp4	195.4 MB
2. Windows-Focused Environment Setup 2018.vtt	19.1 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	13.7 KB
4. How to Code by Yourself (part 1).mp4	25.7 MB
4. How to Code by Yourself (part 1).vtt	21.8 KB
5. How to Code by Yourself (part 2).mp4	15.5 MB
5. How to Code by Yourself (part 2).vtt	12.7 KB
6. How to Succeed in this Course (Long Version).mp4	19.2 MB
6. How to Succeed in this Course (Long Version).vtt	14.0 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	30.6 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	13.5 KB
9. Python 2 vs Python 3.mp4	8.2 MB
9. Python 2 vs Python 3.vtt	6.0 KB
/2. Markov Models/
1. The Markov Property.mp4	8.7 MB
1. The Markov Property.vtt	6.4 KB
2. Markov Models.mp4	8.6 MB
2. Markov Models.vtt	6.1 KB
3. The Math of Markov Chains.mp4	9.5 MB
3. The Math of Markov Chains.vtt	6.9 KB
/3. Markov Models Example Problems and Applications/
1. Example Problem Sick or Healthy.mp4	5.8 MB
1. Example Problem Sick or Healthy.vtt	4.4 KB
2. Example Problem Expected number of continuously sick days.mp4	4.9 MB
2. Example Problem Expected number of continuously sick days.vtt	3.4 KB
3. Example application SEO and Bounce Rate Optimization.mp4	16.6 MB
3. Example application SEO and Bounce Rate Optimization.vtt	9.7 KB
4. Example Application Build a 2nd-order language model and generate phrases.mp4	28.2 MB
4. Example Application Build a 2nd-order language model and generate phrases.vtt	12.6 KB
5. Example Application Google’s PageRank algorithm.mp4	9.1 MB
5. Example Application Google’s PageRank algorithm.vtt	6.7 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.vtt	8.1 KB
10. Baum-Welch Updates for Multiple Observations.mp4	7.8 MB
10. Baum-Welch Updates for Multiple Observations.vtt	5.7 KB
11. Discrete HMM in Code.mp4	49.7 MB
11. Discrete HMM in Code.vtt	13.8 KB
12. The underflow problem and how to solve it.mp4	8.0 MB
12. The underflow problem and how to solve it.vtt	6.3 KB
13. Discrete HMM Updates in Code with Scaling.mp4	30.6 MB
13. Discrete HMM Updates in Code with Scaling.vtt	8.0 KB
14. Scaled Viterbi Algorithm in Log Space.mp4	9.7 MB
14. Scaled Viterbi Algorithm in Log Space.vtt	2.5 KB
2. HMMs are Doubly Embedded.mp4	1.6 MB
2. HMMs are Doubly Embedded.vtt	2.7 KB
3. How can we choose the number of hidden states.mp4	7.7 MB
3. How can we choose the number of hidden states.vtt	5.7 KB
4. The Forward-Backward Algorithm.mp4	23.5 MB
4. The Forward-Backward Algorithm.vtt	5.3 KB
5. Visual Intuition for the Forward Algorithm.mp4	6.3 MB
5. Visual Intuition for the Forward Algorithm.vtt	4.6 KB
6. The Viterbi Algorithm.mp4	5.3 MB
6. The Viterbi Algorithm.vtt	3.6 KB
7. Visual Intuition for the Viterbi Algorithm.mp4	16.4 MB
7. Visual Intuition for the Viterbi Algorithm.vtt	4.0 KB
8. The Baum-Welch Algorithm.mp4	4.6 MB
8. The Baum-Welch Algorithm.vtt	3.0 KB
9. Baum-Welch Explanation and Intuition.mp4	12.6 MB
9. Baum-Welch Explanation and Intuition.vtt	8.3 KB
/5. Discrete HMMs Using Deep Learning Libraries/
1. Gradient Descent Tutorial.mp4	23.9 MB
1. Gradient Descent Tutorial.vtt	5.3 KB
2. Theano Scan Tutorial.mp4	24.9 MB
2. Theano Scan Tutorial.vtt	11.5 KB
3. Discrete HMM in Theano.mp4	32.2 MB
3. Discrete HMM in Theano.vtt	7.6 KB
4. Improving our Gradient Descent-Based HMM.mp4	27.2 MB
4. Improving our Gradient Descent-Based HMM.vtt	6.0 KB
5. Tensorflow Scan Tutorial.mp4	24.2 MB
5. Tensorflow Scan Tutorial.vtt	14.4 KB
6. Discrete HMM in Tensorflow.mp4	17.2 MB
6. Discrete HMM in Tensorflow.vtt	8.6 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.vtt	5.0 KB
2. Generating Data from a Real-Valued HMM.mp4	15.7 MB
2. Generating Data from a Real-Valued HMM.vtt	4.1 KB
3. Continuous-Observation HMM in Code (part 1).mp4	49.0 MB
3. Continuous-Observation HMM in Code (part 1).vtt	11.6 KB
4. Continuous-Observation HMM in Code (part 2).mp4	16.0 MB
4. Continuous-Observation HMM in Code (part 2).vtt	3.0 KB
5. Continuous HMM in Theano.mp4	47.6 MB
5. Continuous HMM in Theano.vtt	10.7 KB
6. Continuous HMM in Tensorflow.mp4	23.6 MB
6. Continuous HMM in Tensorflow.vtt	10.6 KB
/7. HMMs for Classification/
1. Generative vs. Discriminative Classifiers.mp4	4.3 MB
1. Generative vs. Discriminative Classifiers.vtt	3.3 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).vtt	8.0 KB
/8. Bonus Example Parts-of-Speech Tagging/
1. Parts-of-Speech Tagging Concepts.mp4	8.9 MB
1. Parts-of-Speech Tagging Concepts.vtt	6.5 KB
2. POS Tagging with an HMM.mp4	15.1 MB
2. POS Tagging with an HMM.vtt	4.7 KB
/9. Basics Review/
1. (Review) Gaussian Mixture Models.mp4	5.2 MB
1. (Review) Gaussian Mixture Models.vtt	3.4 KB
2. (Review) Theano Tutorial.mp4	20.8 MB
2. (Review) Theano Tutorial.vtt	7.2 KB
3. (Review) Tensorflow Tutorial.mp4	14.6 MB
3. (Review) Tensorflow Tutorial.vtt	5.7 KB
/
Readme.txt	1.0 KB
[GigaCourse.com].url	0.0 KB
Total files 116