[FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

Creation Time	June 16, 2024, 12:29 p.m.
Last Access Time	Oct. 14, 2024, 1:31 p.m.
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Keywords	FreeCourseSite Unsupervised Models - Udemy Machine Python Learning in Hidden com Markov
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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 47.4 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 46.7 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 45.4 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 37.6 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 30.7 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 29.3 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 29.1 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 26.9 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 25.9 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 24.5 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 24.4 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 23.8 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 23.1 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 22.8 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 22.5 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 22.4 MB
9. Basics Review/2. (Review) Theano Tutorial.mp4 19.9 MB
10. Appendix/6. How to Succeed in this Course (Long Version).mp4 18.3 MB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp4 16.5 MB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp4 16.4 MB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp4 15.8 MB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.mp4 15.7 MB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4 15.3 MB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4 14.9 MB
10. Appendix/5. How to Code by Yourself (part 2).mp4 14.8 MB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4 14.4 MB
9. Basics Review/3. (Review) Tensorflow Tutorial.mp4 13.9 MB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.mp4 12.0 MB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp4 10.2 MB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.mp4 9.2 MB
2. Markov Models/3. The Math of Markov Chains.mp4 9.0 MB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp4 8.7 MB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4 8.5 MB
2. Markov Models/1. The Markov Property.mp4 8.3 MB
2. Markov Models/2. Markov Models.mp4 8.2 MB
10. Appendix/9. Python 2 vs Python 3.mp4 7.8 MB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.mp4 7.7 MB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.mp4 7.5 MB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.mp4 7.3 MB
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4 6.8 MB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.mp4 6.0 MB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4 5.5 MB
10. Appendix/1. What is the Appendix.mp4 5.5 MB
1. Introduction and Outline/2. Unsupervised or Supervised.mp4 5.3 MB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.mp4 5.0 MB
9. Basics Review/1. (Review) Gaussian Mixture Models.mp4 5.0 MB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp4 4.6 MB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.mp4 4.3 MB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4 4.1 MB
10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.0 MB
1. Introduction and Outline/4. How to Succeed in this Course.mp4 3.3 MB
1. Introduction and Outline/3. Where to get the Code and Data.mp4 2.1 MB
4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.mp4 1.5 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 29.9 KB
10. Appendix/11. What order should I take your courses in (part 2).vtt 22.3 KB
10. Appendix/4. How to Code by Yourself (part 1).vtt 21.3 KB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt 18.7 KB
10. Appendix/10. What order should I take your courses in (part 1).vtt 15.2 KB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.vtt 14.0 KB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt 13.7 KB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.vtt 13.5 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 13.4 KB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 13.2 KB
10. Appendix/5. How to Code by Yourself (part 2).vtt 12.4 KB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.vtt 12.3 KB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).vtt 11.3 KB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.vtt 11.3 KB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.vtt 10.4 KB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.vtt 10.4 KB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.vtt 9.5 KB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.vtt 8.4 KB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.vtt 8.1 KB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.vtt 7.9 KB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.vtt 7.8 KB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).vtt 7.8 KB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.vtt 7.4 KB
9. Basics Review/2. (Review) Theano Tutorial.vtt 7.1 KB
2. Markov Models/3. The Math of Markov Chains.vtt 6.7 KB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.vtt 6.5 KB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.vtt 6.3 KB
2. Markov Models/1. The Markov Property.vtt 6.2 KB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.vtt 6.1 KB
2. Markov Models/2. Markov Models.vtt 5.9 KB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.vtt 5.9 KB
10. Appendix/9. Python 2 vs Python 3.vtt 5.9 KB
9. Basics Review/3. (Review) Tensorflow Tutorial.vtt 5.6 KB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.vtt 5.6 KB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.vtt 5.6 KB
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.vtt 5.4 KB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.vtt 5.2 KB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.vtt 5.2 KB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.vtt 4.9 KB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.vtt 4.6 KB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.vtt 4.5 KB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.vtt 4.3 KB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.vtt 4.0 KB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.vtt 3.9 KB
1. Introduction and Outline/4. How to Succeed in this Course.vtt 3.7 KB
1. Introduction and Outline/2. Unsupervised or Supervised.vtt 3.7 KB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.vtt 3.5 KB
10. Appendix/1. What is the Appendix.vtt 3.4 KB
9. Basics Review/1. (Review) Gaussian Mixture Models.vtt 3.3 KB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.vtt 3.3 KB
10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3.3 KB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.vtt 3.3 KB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.vtt 3.0 KB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).vtt 2.9 KB
4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.vtt 2.6 KB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.vtt 2.4 KB
1. Introduction and Outline/3. Where to get the Code and Data.vtt 1.7 KB
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[FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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