| 1. (Review) Gaussian Mixture Models.mp4 | 5 MB | ||
| 1. (Review) Gaussian Mixture Models.vtt | 3.3 KB | ||
| 1. Example Problem Sick or Healthy.mp4 | 5.5 MB | ||
| 1. Example Problem Sick or Healthy.vtt | 4.3 KB | ||
| 1. From Markov Models to Hidden Markov Models.mp4 | 10.2 MB | ||
| 1. From Markov Models to Hidden Markov Models.vtt | 7.9 KB | ||
| 1. Gaussian Mixture Models with Hidden Markov Models.mp4 | 16.5 MB | ||
| 1. Gaussian Mixture Models with Hidden Markov Models.vtt | 4.9 KB | ||
| 1. Generative vs. Discriminative Classifiers.mp4 | 4.1 MB | ||
| 1. Generative vs. Discriminative Classifiers.vtt | 3.3 KB | ||
| 1. Gradient Descent Tutorial.mp4 | 22.8 MB | ||
| 1. Gradient Descent Tutorial.vtt | 5.2 KB | ||
| 1. Introduction and Outline Why would you want to use an HMM.mp4 | 6.8 MB | ||
| 1. Introduction and Outline Why would you want to use an HMM.vtt | 5.4 KB | ||
| 1. Parts-of-Speech Tagging Concepts.mp4 | 8.5 MB | ||
| 1. Parts-of-Speech Tagging Concepts.vtt | 6.3 KB | ||
| 1. The Markov Property.mp4 | 8.3 MB | ||
| 1. The Markov Property.vtt | 6.2 KB | ||
| 1. What is the Appendix.mp4 | 5.5 MB | ||
| 1. What is the Appendix.vtt | 3.4 KB | ||
| 10. Baum-Welch Updates for Multiple Observations.mp4 | 7.5 MB | ||
| 10. Baum-Welch Updates for Multiple Observations.vtt | 5.6 KB | ||
| 10. What order should I take your courses in (part 1).mp4 | 29.3 MB | ||
| 10. What order should I take your courses in (part 1).vtt | 15.2 KB | ||
| 11. Discrete HMM in Code.mp4 | 47.4 MB | ||
| 11. Discrete HMM in Code.vtt | 13.5 KB | ||
| 11. What order should I take your courses in (part 2).mp4 | 37.6 MB | ||
| 11. What order should I take your courses in (part 2).vtt | 22.3 KB | ||
| 12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 4 MB | ||
| 12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt | 3.3 KB | ||
| 12. The underflow problem and how to solve it.mp4 | 7.7 MB | ||
| 12. The underflow problem and how to solve it.vtt | 6.1 KB | ||
| 13. Discrete HMM Updates in Code with Scaling.mp4 | 29.1 MB | ||
| 13. Discrete HMM Updates in Code with Scaling.vtt | 7.8 KB | ||
| 14. Scaled Viterbi Algorithm in Log Space.mp4 | 9.2 MB | ||
| 14. Scaled Viterbi Algorithm in Log Space.vtt | 2.4 KB | ||
| 2. (Review) Theano Tutorial.mp4 | 19.9 MB | ||
| 2. (Review) Theano Tutorial.vtt | 7.1 KB | ||
| 2. Example Problem Expected number of continuously sick days.mp4 | 4.6 MB | ||
| 2. Example Problem Expected number of continuously sick days.vtt | 3.3 KB | ||
| 2. Generating Data from a Real-Valued HMM.mp4 | 14.9 MB | ||
| 2. Generating Data from a Real-Valued HMM.vtt | 4 KB | ||
| 2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 | 24.4 MB | ||
| 2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).vtt | 7.8 KB | ||
| 2. HMMs are Doubly Embedded.mp4 | 1.5 MB | ||
| 2. HMMs are Doubly Embedded.vtt | 2.6 KB | ||
| 2. Markov Models.mp4 | 8.2 MB | ||
| 2. Markov Models.vtt | 5.9 KB | ||
| 2. POS Tagging with an HMM.mp4 | 14.4 MB | ||
| 2. POS Tagging with an HMM.vtt | 4.6 KB | ||
| 2. Theano Scan Tutorial.mp4 | 23.8 MB | ||
| 2. Theano Scan Tutorial.vtt | 11.3 KB | ||
| 2. Unsupervised or Supervised.mp4 | 5.3 MB | ||
| 2. Unsupervised or Supervised.vtt | 3.7 KB | ||
| 2. Windows-Focused Environment Setup 2018.mp4 | 186.3 MB | ||
| 2. Windows-Focused Environment Setup 2018.vtt | 18.7 KB | ||
| 3. (Review) Tensorflow Tutorial.mp4 | 13.9 MB | ||
| 3. (Review) Tensorflow Tutorial.vtt | 5.6 KB | ||
| 3. Continuous-Observation HMM in Code (part 1).mp4 | 46.7 MB | ||
| 3. Continuous-Observation HMM in Code (part 1).vtt | 11.3 KB | ||
| 3. Discrete HMM in Theano.mp4 | 30.7 MB | ||
| 3. Discrete HMM in Theano.vtt | 7.4 KB | ||
| 3. Example application SEO and Bounce Rate Optimization.mp4 | 15.8 MB | ||
| 3. Example application SEO and Bounce Rate Optimization.vtt | 9.5 KB | ||
| 3. How can we choose the number of hidden states.mp4 | 7.3 MB | ||
| 3. How can we choose the number of hidden states.vtt | 5.6 KB | ||
| 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 43.9 MB | ||
| 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt | 13.4 KB | ||
| 3. The Math of Markov Chains.mp4 | 9 MB | ||
| 3. The Math of Markov Chains.vtt | 6.7 KB | ||
| 3. Where to get the Code and Data.mp4 | 2.1 MB | ||
| 3. Where to get the Code and Data.vtt | 1.7 KB | ||
| 4. Continuous-Observation HMM in Code (part 2).mp4 | 15.3 MB | ||
| 4. Continuous-Observation HMM in Code (part 2).vtt | 2.9 KB | ||
| 4. Example Application Build a 2nd-order language model and generate phrases.mp4 | 26.9 MB | ||
| 4. Example Application Build a 2nd-order language model and generate phrases.vtt | 12.3 KB | ||
| 4. How to Code by Yourself (part 1).mp4 | 24.5 MB | ||
| 4. How to Code by Yourself (part 1).vtt | 21.3 KB | ||
| 4. How to Succeed in this Course.mp4 | 3.3 MB | ||
| 4. How to Succeed in this Course.vtt | 3.7 KB | ||
| 4. Improving our Gradient Descent-Based HMM.mp4 | 25.9 MB | ||
| 4. Improving our Gradient Descent-Based HMM.vtt | 5.9 KB | ||
| 4. The Forward-Backward Algorithm.mp4 | 22.4 MB | ||
| 4. The Forward-Backward Algorithm.vtt | 5.2 KB | ||
| 5. Continuous HMM in Theano.mp4 | 45.4 MB | ||
| 5. Continuous HMM in Theano.vtt | 10.4 KB | ||
| 5. Example Application Google’s PageRank algorithm.mp4 | 8.7 MB | ||
| 5. Example Application Google’s PageRank algorithm.vtt | 6.5 KB | ||
| 5. How to Code by Yourself (part 2).mp4 | 14.8 MB | ||
| 5. How to Code by Yourself (part 2).vtt | 12.4 KB | ||
| 5. Tensorflow Scan Tutorial.mp4 | 23.1 MB | ||
| 5. Tensorflow Scan Tutorial.vtt | 14 KB | ||
| 5. Visual Intuition for the Forward Algorithm.mp4 | 6 MB | ||
| 5. Visual Intuition for the Forward Algorithm.vtt | 4.5 KB | ||
| 6. Continuous HMM in Tensorflow.mp4 | 22.5 MB | ||
| 6. Continuous HMM in Tensorflow.vtt | 10.4 KB | ||
| 6. Discrete HMM in Tensorflow.mp4 | 16.4 MB | ||
| 6. Discrete HMM in Tensorflow.vtt | 8.4 KB | ||
| 6. How to Succeed in this Course (Long Version).mp4 | 18.3 MB | ||
| 6. How to Succeed in this Course (Long Version).vtt | 13.7 KB | ||
| 6. The Viterbi Algorithm.mp4 | 5 MB | ||
| 6. The Viterbi Algorithm.vtt | 3.5 KB | ||
| 7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 | 39 MB | ||
| 7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt | 29.9 KB | ||
| 7. Visual Intuition for the Viterbi Algorithm.mp4 | 15.7 MB | ||
| 7. Visual Intuition for the Viterbi Algorithm.vtt | 3.9 KB | ||
| 8. Proof that using Jupyter Notebook is the same as not using it.mp4 | 78.3 MB | ||
| 8. Proof that using Jupyter Notebook is the same as not using it.vtt | 13.2 KB | ||
| 8. The Baum-Welch Algorithm.mp4 | 4.3 MB | ||
| 8. The Baum-Welch Algorithm.vtt | 3 KB | ||
| 9. Baum-Welch Explanation and Intuition.mp4 | 12 MB | ||
| 9. Baum-Welch Explanation and Intuition.vtt | 8.1 KB | ||
| 9. Python 2 vs Python 3.mp4 | 7.8 MB | ||
| 9. Python 2 vs Python 3.vtt | 5.9 KB | ||
| [FCS Forum].url | 102.4 B | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| ▲ 116 total files | |||
Udemy - Unsupervised Machine Learning Hidden Markov Models in Python [FCS]
HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.
Created by Lazy Programmer Inc.
Last updated 10/2018
For more Udemy Courses: https://freecoursesite.com
Our Forum for Discussion: https://forum.freecoursesite.com
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