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种子名称： [GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
文件类型： 视频
文件数目： 57个文件
文件大小： 1.15 GB
收录时间： 2020-11-26 19:43
已经下载： 3次
资源热度： 178
最近下载： 2024-6-3 07:34

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

1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp46.78MB

1. Introduction and Outline/2. Unsupervised or Supervised.mp45.27MB

1. Introduction and Outline/3. Where to get the Code and Data.mp42.09MB

1. Introduction and Outline/4. How to Succeed in this Course.mp43.3MB

10. Appendix/1. What is the Appendix.mp45.45MB

10. Appendix/10. What order should I take your courses in (part 1).mp429.33MB

10. Appendix/11. What order should I take your courses in (part 2).mp437.63MB

10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp44.03MB

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.33MB

10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB

10. Appendix/4. How to Code by Yourself (part 1).mp424.54MB

10. Appendix/5. How to Code by Yourself (part 2).mp414.81MB

10. Appendix/6. How to Succeed in this Course (Long Version).mp418.32MB

10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB

10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB

10. Appendix/9. Python 2 vs Python 3.mp47.84MB

2. Markov Models/1. The Markov Property.mp48.31MB

2. Markov Models/2. Markov Models.mp48.17MB

2. Markov Models/3. The Math of Markov Chains.mp49.04MB

3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp45.54MB

3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp44.63MB

3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp415.83MB

3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp426.93MB

3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp48.72MB

4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp410.17MB

4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.mp47.48MB

4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp447.43MB

4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.mp47.65MB

4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp429.14MB

4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.mp49.23MB

4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.mp41.54MB

4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.mp47.35MB

4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp422.44MB

4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.mp46.03MB

4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.mp45.04MB

4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.mp415.68MB

4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.mp44.35MB

4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.mp411.97MB

5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp422.81MB

5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp423.76MB

5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp430.74MB

5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp425.95MB

5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp423.07MB

5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp416.44MB

6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp416.46MB

6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp414.95MB

6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp446.69MB

6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp415.29MB

6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp445.41MB

6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp422.46MB

7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp44.12MB

7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp424.39MB

8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp48.51MB

8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp414.39MB

9. Basics Review/1. (Review) Gaussian Mixture Models.mp44.99MB

9. Basics Review/2. (Review) Theano Tutorial.mp419.86MB

9. Basics Review/3. (Review) Tensorflow Tutorial.mp413.89MB