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

  • Seeders：0
  • Leechers：7
  • Completed：88
  • File size：1.06 GB
  • Date：2020-07-25
Magnet CopyDownload Torrent

Files

  • 1. Introduction and Outline1. Introduction and Outline Why would you want to use an HMM.mp4(6.78 MB)
  • 1. Introduction and Outline1. Introduction and Outline Why would you want to use an HMM.vtt(5.42 KB)
  • 1. Introduction and Outline2. Unsupervised or Supervised.mp4(5.27 MB)
  • 1. Introduction and Outline2. Unsupervised or Supervised.vtt(3.67 KB)
  • 1. Introduction and Outline3. Where to get the Code and Data.mp4(2.09 MB)
  • 1. Introduction and Outline3. Where to get the Code and Data.vtt(1.73 KB)
  • 1. Introduction and Outline4. How to Succeed in this Course.mp4(3.30 MB)
  • 1. Introduction and Outline4. How to Succeed in this Course.vtt(3.74 KB)
  • 10. Appendix1. What is the Appendix.mp4(5.45 MB)
  • 10. Appendix1. What is the Appendix.vtt(3.38 KB)
  • 10. Appendix10. What order should I take your courses in (part 1).mp4(29.33 MB)
  • 10. Appendix10. What order should I take your courses in (part 1).vtt(15.16 KB)
  • 10. Appendix11. What order should I take your courses in (part 2).mp4(37.63 MB)
  • 10. Appendix11. What order should I take your courses in (part 2).vtt(22.30 KB)
  • 10. Appendix12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4(4.03 MB)
  • 10. Appendix12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt(3.30 KB)
  • 10. Appendix2. Windows-Focused Environment Setup 2018.mp4(186.33 MB)
  • 10. Appendix2. Windows-Focused Environment Setup 2018.vtt(18.66 KB)
  • 10. Appendix3. How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4(43.92 MB)
  • 10. Appendix3. How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.vtt(13.40 KB)
  • 10. Appendix4. How to Code by Yourself (part 1).mp4(24.54 MB)
  • 10. Appendix4. How to Code by Yourself (part 1).vtt(21.32 KB)
  • 10. Appendix5. How to Code by Yourself (part 2).mp4(14.81 MB)
  • 10. Appendix5. How to Code by Yourself (part 2).vtt(12.41 KB)
  • 10. Appendix6. How to Succeed in this Course (Long Version).mp4(18.32 MB)
  • 10. Appendix6. How to Succeed in this Course (Long Version).vtt(13.71 KB)
  • 10. Appendix7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4(38.96 MB)
  • 10. Appendix7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt(29.90 KB)
  • 10. Appendix8. Proof that using Jupyter Notebook is the same as not using it.mp4(78.28 MB)
  • 10. Appendix8. Proof that using Jupyter Notebook is the same as not using it.vtt(13.18 KB)
  • 10. Appendix9. Python 2 vs Python 3.mp4(7.84 MB)
  • 10. Appendix9. Python 2 vs Python 3.vtt(5.90 KB)
  • 2. Markov Models1. The Markov Property.mp4(8.31 MB)
  • 2. Markov Models1. The Markov Property.vtt(6.22 KB)
  • 2. Markov Models2. Markov Models.mp4(8.17 MB)
  • 2. Markov Models2. Markov Models.vtt(5.94 KB)
  • 2. Markov Models3. The Math of Markov Chains.mp4(9.04 MB)
  • 2. Markov Models3. The Math of Markov Chains.vtt(6.71 KB)
  • 3. Markov Models Example Problems and Applications1. Example Problem Sick or Healthy.mp4(5.54 MB)
  • 3. Markov Models Example Problems and Applications1. Example Problem Sick or Healthy.vtt(4.33 KB)
  • 3. Markov Models Example Problems and Applications2. Example Problem Expected number of continuously sick days.mp4(4.63 MB)
  • 3. Markov Models Example Problems and Applications2. Example Problem Expected number of continuously sick days.vtt(3.32 KB)
  • 3. Markov Models Example Problems and Applications3. Example application SEO and Bounce Rate Optimization.mp4(15.83 MB)
  • 3. Markov Models Example Problems and Applications3. Example application SEO and Bounce Rate Optimization.vtt(9.46 KB)
  • 3. Markov Models Example Problems and Applications4. Example Application Build a 2nd-order language model and generate phrases.mp4(26.93 MB)
  • 3. Markov Models Example Problems and Applications4. Example Application Build a 2nd-order language model and generate phrases.vtt(12.34 KB)
  • 3. Markov Models Example Problems and Applications5. Example Application Google’s PageRank algorithm.mp4(8.72 MB)
  • 3. Markov Models Example Problems and Applications5. Example Application Google’s PageRank algorithm.vtt(6.51 KB)
  • 4. Hidden Markov Models for Discrete Observations1. From Markov Models to Hidden Markov Models.mp4(10.17 MB)
  • 4. Hidden Markov Models for Discrete Observations1. From Markov Models to Hidden Markov Models.vtt(7.93 KB)
  • 4. Hidden Markov Models for Discrete Observations10. Baum-Welch Updates for Multiple Observations.mp4(7.48 MB)
  • 4. Hidden Markov Models for Discrete Observations10. Baum-Welch Updates for Multiple Observations.vtt(5.60 KB)
  • 4. Hidden Markov Models for Discrete Observations11. Discrete HMM in Code.mp4(47.43 MB)
  • 4. Hidden Markov Models for Discrete Observations11. Discrete HMM in Code.vtt(13.46 KB)
  • 4. Hidden Markov Models for Discrete Observations12. The underflow problem and how to solve it.mp4(7.65 MB)
  • 4. Hidden Markov Models for Discrete Observations12. The underflow problem and how to solve it.vtt(6.12 KB)
  • 4. Hidden Markov Models for Discrete Observations13. Discrete HMM Updates in Code with Scaling.mp4(29.14 MB)
  • 4. Hidden Markov Models for Discrete Observations13. Discrete HMM Updates in Code with Scaling.vtt(7.84 KB)
  • 4. Hidden Markov Models for Discrete Observations14. Scaled Viterbi Algorithm in Log Space.mp4(9.23 MB)
  • 4. Hidden Markov Models for Discrete Observations14. Scaled Viterbi Algorithm in Log Space.vtt(2.40 KB)
  • 4. Hidden Markov Models for Discrete Observations2. HMMs are Doubly Embedded.mp4(1.54 MB)
  • 4. Hidden Markov Models for Discrete Observations2. HMMs are Doubly Embedded.vtt(2.60 KB)
  • 4. Hidden Markov Models for Discrete Observations3. How can we choose the number of hidden states.mp4(7.35 MB)
  • 4. Hidden Markov Models for Discrete Observations3. How can we choose the number of hidden states.vtt(5.57 KB)
  • 4. Hidden Markov Models for Discrete Observations4. The Forward-Backward Algorithm.mp4(22.44 MB)
  • 4. Hidden Markov Models for Discrete Observations4. The Forward-Backward Algorithm.vtt(5.21 KB)
  • 4. Hidden Markov Models for Discrete Observations5. Visual Intuition for the Forward Algorithm.mp4(6.03 MB)
  • 4. Hidden Markov Models for Discrete Observations5. Visual Intuition for the Forward Algorithm.vtt(4.46 KB)
  • 4. Hidden Markov Models for Discrete Observations6. The Viterbi Algorithm.mp4(5.04 MB)
  • 4. Hidden Markov Models for Discrete Observations6. The Viterbi Algorithm.vtt(3.49 KB)
  • 4. Hidden Markov Models for Discrete Observations7. Visual Intuition for the Viterbi Algorithm.mp4(15.68 MB)
  • 4. Hidden Markov Models for Discrete Observations7. Visual Intuition for the Viterbi Algorithm.vtt(3.91 KB)
  • 4. Hidden Markov Models for Discrete Observations8. The Baum-Welch Algorithm.mp4(4.35 MB)
  • 4. Hidden Markov Models for Discrete Observations8. The Baum-Welch Algorithm.vtt(2.97 KB)
  • 4. Hidden Markov Models for Discrete Observations9. Baum-Welch Explanation and Intuition.mp4(11.97 MB)
  • 4. Hidden Markov Models for Discrete Observations9. Baum-Welch Explanation and Intuition.vtt(8.06 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries1. Gradient Descent Tutorial.mp4(22.81 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries1. Gradient Descent Tutorial.vtt(5.19 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries2. Theano Scan Tutorial.mp4(23.76 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries2. Theano Scan Tutorial.vtt(11.26 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries3. Discrete HMM in Theano.mp4(30.74 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries3. Discrete HMM in Theano.vtt(7.40 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries4. Improving our Gradient Descent-Based HMM.mp4(25.95 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries4. Improving our Gradient Descent-Based HMM.vtt(5.91 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries5. Tensorflow Scan Tutorial.mp4(23.07 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries5. Tensorflow Scan Tutorial.vtt(14.03 KB)
  • 5. Discrete HMMs Using Deep Learning Libraries6. Discrete HMM in Tensorflow.mp4(16.44 MB)
  • 5. Discrete HMMs Using Deep Learning Libraries6. Discrete HMM in Tensorflow.vtt(8.44 KB)
  • 6. HMMs for Continuous Observations1. Gaussian Mixture Models with Hidden Markov Models.mp4(16.46 MB)
  • 6. HMMs for Continuous Observations1. Gaussian Mixture Models with Hidden Markov Models.vtt(4.92 KB)
  • 6. HMMs for Continuous Observations2. Generating Data from a Real-Valued HMM.mp4(14.95 MB)
  • 6. HMMs for Continuous Observations2. Generating Data from a Real-Valued HMM.vtt(3.99 KB)
  • 6. HMMs for Continuous Observations3. Continuous-Observation HMM in Code (part 1).mp4(46.69 MB)
  • 6. HMMs for Continuous Observations3. Continuous-Observation HMM in Code (part 1).vtt(11.30 KB)
  • 6. HMMs for Continuous Observations4. Continuous-Observation HMM in Code (part 2).mp4(15.29 MB)
  • 6. HMMs for Continuous Observations4. Continuous-Observation HMM in Code (part 2).vtt(2.90 KB)
  • 6. HMMs for Continuous Observations5. Continuous HMM in Theano.mp4(45.41 MB)
  • 6. HMMs for Continuous Observations5. Continuous HMM in Theano.vtt(10.45 KB)
  • 6. HMMs for Continuous Observations6. Continuous HMM in Tensorflow.mp4(22.46 MB)
  • 6. HMMs for Continuous Observations6. Continuous HMM in Tensorflow.vtt(10.36 KB)

Favorites