589689.xyz

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

  • 收录时间:2019-03-16 09:07:55
  • 文件大小:710MB
  • 下载次数:83
  • 最近下载:2021-01-20 20:49:51
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4 47MB
  2. 06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4 47MB
  3. 06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4 45MB
  4. 09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 44MB
  5. 05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4 31MB
  6. 04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4 29MB
  7. 03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 27MB
  8. 09 Appendix/047 How to Code by Yourself part 1.mp4 25MB
  9. 07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4 24MB
  10. 05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4 24MB
  11. 05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4 23MB
  12. 06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4 22MB
  13. 09 Appendix/044 Theano Tutorial.mp4 20MB
  14. 05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4 16MB
  15. 03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16MB
  16. 06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4 15MB
  17. 06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4 15MB
  18. 09 Appendix/048 How to Code by Yourself part 2.mp4 15MB
  19. 08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4 14MB
  20. 09 Appendix/045 Tensorflow Tutorial.mp4 14MB
  21. 04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp4 12MB
  22. 04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10MB
  23. 04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp4 9MB
  24. 02 Markov Models/007 The Math of Markov Chains.mp4 9MB
  25. 01 Introduction and Outline/004 How to Succeed in this Course.mp4 9MB
  26. 03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 9MB
  27. 08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp4 9MB
  28. 05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp4 8MB
  29. 02 Markov Models/005 The Markov Property.mp4 8MB
  30. 02 Markov Models/006 Markov Models.mp4 8MB
  31. 05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp4 8MB
  32. 04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp4 8MB
  33. 04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp4 7MB
  34. 04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7MB
  35. 04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 7MB
  36. 01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 7MB
  37. 06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp4 6MB
  38. 04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6MB
  39. 04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4 6MB
  40. 03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 6MB
  41. 01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5MB
  42. 04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5MB
  43. 09 Appendix/043 Review of Gaussian Mixture Models.mp4 5MB
  44. 03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 5MB
  45. 04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4 4MB
  46. 07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp4 4MB
  47. 09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4MB
  48. 04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3MB
  49. 01 Introduction and Outline/003 Where to get the Code and Data.mp4 2MB
  50. [DesireCourse.Com].txt 754B
  51. [DesireCourse.Com].url 51B