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[GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
magnet:?xt=urn:btih:67a5096d7fde3e8218e108ac5f1ea1d4a8bd09bd&dn=[GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
磁力链接详情
Hash值:
67a5096d7fde3e8218e108ac5f1ea1d4a8bd09bd
点击数:
182
文件大小:
1.15 GB
文件数量:
57
创建日期:
2020-11-26 19:43
最后访问:
2024-7-1 21:12
访问标签:
GigaCourse
com
Udemy
-
Unsupervised
Machine
Learning
Hidden
Markov
Models
in
Python
文件列表详情
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4 6.78 MB
1. Introduction and Outline/2. Unsupervised or Supervised.mp4 5.27 MB
1. Introduction and Outline/3. Where to get the Code and Data.mp4 2.09 MB
1. Introduction and Outline/4. How to Succeed in this Course.mp4 3.3 MB
10. Appendix/1. What is the Appendix.mp4 5.45 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 29.33 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 37.63 MB
10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.03 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.33 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 24.54 MB
10. Appendix/5. How to Code by Yourself (part 2).mp4 14.81 MB
10. Appendix/6. How to Succeed in this Course (Long Version).mp4 18.32 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.28 MB
10. Appendix/9. Python 2 vs Python 3.mp4 7.84 MB
2. Markov Models/1. The Markov Property.mp4 8.31 MB
2. Markov Models/2. Markov Models.mp4 8.17 MB
2. Markov Models/3. The Math of Markov Chains.mp4 9.04 MB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4 5.54 MB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp4 4.63 MB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp4 15.83 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 26.93 MB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp4 8.72 MB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp4 10.17 MB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.mp4 7.48 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 47.43 MB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.mp4 7.65 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 29.14 MB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.mp4 9.23 MB
4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.mp4 1.54 MB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.mp4 7.35 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 22.44 MB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.mp4 6.03 MB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.mp4 5.04 MB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.mp4 15.68 MB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.mp4 4.35 MB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.mp4 11.97 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 22.81 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 23.76 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 30.74 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 25.95 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 23.07 MB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp4 16.44 MB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp4 16.46 MB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4 14.95 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 46.69 MB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4 15.29 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 45.41 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 22.46 MB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4 4.12 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 24.39 MB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4 8.51 MB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4 14.39 MB
9. Basics Review/1. (Review) Gaussian Mixture Models.mp4 4.99 MB
9. Basics Review/2. (Review) Theano Tutorial.mp4 19.86 MB
9. Basics Review/3. (Review) Tensorflow Tutorial.mp4 13.89 MB
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