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

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  • 文件大小:2GB
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文件列表

  1. 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  3. 4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 65MB
  4. 4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 60MB
  5. 4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 59MB
  6. 4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 56MB
  7. 4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 47MB
  8. 6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 47MB
  9. 6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 45MB
  10. 10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  11. 4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 42MB
  12. 4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 40MB
  13. 12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  14. 13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  15. 12/4. What order should I take your courses in (part 2).mp4 38MB
  16. 4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 34MB
  17. 2. Markov Models/2. Markov Models.mp4 32MB
  18. 4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 31MB
  19. 5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 31MB
  20. 12/3. What order should I take your courses in (part 1).mp4 29MB
  21. 4. Hidden Markov Models for Discrete Observations/18. Discrete HMM Updates in Code with Scaling.mp4 29MB
  22. 4. Hidden Markov Models for Discrete Observations/4. The 3 Problems of an HMM.mp4 28MB
  23. 4. Hidden Markov Models for Discrete Observations/6. The Forward-Backward Algorithm (part 2).mp4 28MB
  24. 4. Hidden Markov Models for Discrete Observations/8. The Viterbi Algorithm (part 1).mp4 28MB
  25. 3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 27MB
  26. 4. Hidden Markov Models for Discrete Observations/7. The Forward-Backward Algorithm (part 3).mp4 26MB
  27. 5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 26MB
  28. 11. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25MB
  29. 7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 24MB
  30. 2. Markov Models/1. The Markov Property.mp4 24MB
  31. 2. Markov Models/3. The Math of Markov Chains.mp4 24MB
  32. 5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24MB
  33. 5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 23MB
  34. 5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23MB
  35. 6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 22MB
  36. 4. Hidden Markov Models for Discrete Observations/10. HMM Training (part 1).mp4 21MB
  37. 9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.mp4 20MB
  38. 12/1. How to Succeed in this Course (Long Version).mp4 18MB
  39. 6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp4 16MB
  40. 5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp4 16MB
  41. 3. Markov Models Example Problems and Applications/6. Suggestion Box.mp4 16MB
  42. 3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp4 16MB
  43. 6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4 15MB
  44. 6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4 15MB
  45. 11. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15MB
  46. 8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4 14MB
  47. 9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.mp4 14MB
  48. 4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp4 10MB
  49. 4. Hidden Markov Models for Discrete Observations/19. Scaled Viterbi Algorithm in Log Space.mp4 9MB
  50. 3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp4 9MB
  51. 8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4 9MB
  52. 11. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.mp4 8MB
  53. 4. Hidden Markov Models for Discrete Observations/17. The underflow problem and how to solve it.mp4 8MB
  54. 4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.mp4 7MB
  55. 1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4 7MB
  56. 3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4 6MB
  57. 13. Appendix FAQ/1. What is the Appendix.mp4 5MB
  58. 1. Introduction and Outline/2. Unsupervised or Supervised.mp4 5MB
  59. 9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.mp4 5MB
  60. 3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp4 5MB
  61. 7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4 4MB
  62. 1. Introduction and Outline/4. How to Succeed in this Course.mp4 3MB
  63. 1. Introduction and Outline/3. Where to get the Code and Data.mp4 2MB
  64. 12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 34KB
  65. 12/4. What order should I take your courses in (part 2).srt 25KB
  66. 11. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).srt 24KB
  67. 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.srt 21KB
  68. 4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).srt 21KB
  69. 4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).srt 18KB
  70. 12/3. What order should I take your courses in (part 1).srt 17KB
  71. 4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).srt 17KB
  72. 5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.srt 16KB
  73. 10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15KB
  74. 12/1. How to Succeed in this Course (Long Version).srt 15KB
  75. 4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.srt 15KB
  76. 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.srt 15KB
  77. 4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).srt 15KB
  78. 11. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).srt 14KB
  79. 3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.srt 14KB
  80. 6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).srt 13KB
  81. 5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.srt 13KB
  82. 4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).srt 13KB
  83. 6. HMMs for Continuous Observations/5. Continuous HMM in Theano.srt 12KB
  84. 6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.srt 12KB
  85. 4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.srt 11KB
  86. 3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.srt 11KB
  87. 4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.srt 10KB
  88. 4. Hidden Markov Models for Discrete Observations/7. The Forward-Backward Algorithm (part 3).srt 10KB
  89. 5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.srt 10KB
  90. 4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.srt 9KB
  91. 2. Markov Models/2. Markov Models.srt 9KB
  92. 4. Hidden Markov Models for Discrete Observations/18. Discrete HMM Updates in Code with Scaling.srt 9KB
  93. 4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.srt 9KB
  94. 7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 9KB
  95. 4. Hidden Markov Models for Discrete Observations/6. The Forward-Backward Algorithm (part 2).srt 9KB
  96. 5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.srt 8KB
  97. 13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8KB
  98. 4. Hidden Markov Models for Discrete Observations/4. The 3 Problems of an HMM.srt 8KB
  99. 9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.srt 8KB
  100. 4. Hidden Markov Models for Discrete Observations/8. The Viterbi Algorithm (part 1).srt 8KB
  101. 2. Markov Models/3. The Math of Markov Chains.srt 7KB
  102. 3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.srt 7KB
  103. 8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.srt 7KB
  104. 2. Markov Models/1. The Markov Property.srt 7KB
  105. 4. Hidden Markov Models for Discrete Observations/17. The underflow problem and how to solve it.srt 7KB
  106. 5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.srt 7KB
  107. 11. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.srt 7KB
  108. 9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.srt 6KB
  109. 4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.srt 6KB
  110. 4. Hidden Markov Models for Discrete Observations/10. HMM Training (part 1).srt 6KB
  111. 1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.srt 6KB
  112. 5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.srt 6KB
  113. 6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.srt 6KB
  114. 8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.srt 5KB
  115. 3. Markov Models Example Problems and Applications/6. Suggestion Box.srt 5KB
  116. 3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.srt 5KB
  117. 6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.srt 5KB
  118. 1. Introduction and Outline/4. How to Succeed in this Course.srt 4KB
  119. 1. Introduction and Outline/2. Unsupervised or Supervised.srt 4KB
  120. 13. Appendix FAQ/1. What is the Appendix.srt 4KB
  121. 3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.srt 4KB
  122. 9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.srt 4KB
  123. 7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.srt 4KB
  124. 6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).srt 3KB
  125. 4. Hidden Markov Models for Discrete Observations/19. Scaled Viterbi Algorithm in Log Space.srt 3KB
  126. 1. Introduction and Outline/3. Where to get the Code and Data.srt 2KB
  127. [Tutorialsplanet.NET].url 128B