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

  10. Setting Up Your Environment (FAQ by Student Request)

   1. Windows-Focused Environment Setup 2018.srt

   2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

  1. Introduction and Outline

   1. Introduction and Outline Why would you want to use an HMM.srt

   2. Unsupervised or Supervised.srt

   3. Where to get the Code and Data.srt

   4. Anyone Can Succeed in this Course.mp4

  2. Markov Models

   1. The Markov Property.srt

   2. Markov Models.srt

   3. The Math of Markov Chains.srt

  3. Markov Models Example Problems and Applications

   1. Example Problem Sick or Healthy.srt

   2. Example Problem Expected number of continuously sick days.srt

   3. Example application SEO and Bounce Rate Optimization.srt

   4. Example Application Build a 2nd-order language model and generate phrases.srt

   5. Example Application Google’s PageRank algorithm.srt

   6. Suggestion Box.srt

  4. Hidden Markov Models for Discrete Observations

   1. From Markov Models to Hidden Markov Models.srt

   2. HMM - Basic Examples.srt

   3. Parameters of an HMM.srt

   4. The 3 Problems of an HMM.srt

   5. The Forward-Backward Algorithm (part 1).srt

   6. The Forward-Backward Algorithm (part 2).srt

   7. The Forward-Backward Algorithm (part 3).srt

   8. The Viterbi Algorithm (part 1).srt

   9. The Viterbi Algorithm (part 2).srt

   10. HMM Training (part 1).srt

   11. HMM Training (part 2).srt

   12. HMM Training (part 3).srt

   13. HMM Training (part 4).srt

   14. How to Choose the Number of Hidden States.srt

   15. Baum-Welch Updates for Multiple Observations.srt

   16. Discrete HMM in Code.srt

   17. The underflow problem and how to solve it.srt

   18. Discrete HMM Updates in Code with Scaling.srt

   19. Scaled Viterbi Algorithm in Log Space.srt

  5. Discrete HMMs Using Deep Learning Libraries

   1. Gradient Descent Tutorial.srt

   2. Theano Scan Tutorial.srt

   3. Discrete HMM in Theano.srt

   4. Improving our Gradient Descent-Based HMM.srt

   5. Tensorflow Scan Tutorial.srt

   6. Discrete HMM in Tensorflow.srt

  6. HMMs for Continuous Observations

   1. Gaussian Mixture Models with Hidden Markov Models.srt

   2. Generating Data from a Real-Valued HMM.srt

   3. Continuous-Observation HMM in Code (part 1).srt

   4. Continuous-Observation HMM in Code (part 2).srt

   5. Continuous HMM in Theano.srt

   6. Continuous HMM in Tensorflow.srt

  7. HMMs for Classification

   1. Generative vs. Discriminative Classifiers.srt

   2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt

  8. Bonus Example Parts-of-Speech Tagging

   1. Parts-of-Speech Tagging Concepts.srt

   2. POS Tagging with an HMM.srt

  9. Theano, Tensorflow, and Machine Learning Basics Review

   1. (Review) Gaussian Mixture Models.srt

   2. (Review) Theano Tutorial.srt

   3. (Review) Tensorflow Tutorial.srt

  11. Extra Help With Python Coding for Beginners (FAQ by Student Request)

   1. How to Code by Yourself (part 1).srt

   2. How to Code by Yourself (part 2).srt

   3. Proof that using Jupyter Notebook is the same as not using it.srt

   4. Python 2 vs Python 3.srt

  12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)

   1. How to Succeed in this Course (Long Version).srt

   2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

   3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt

   4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt

  13. Appendix FAQ Finale

   1. What is the Appendix.srt

   2. BONUS Where to get Udemy coupons and FREE deep learning material.srt

 TutsNode.com.txt