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

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

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文件大小： 1.68G
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收录时间：2021-03-20
最近下载：2024-09-30

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文件列表

  • 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
  • 4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
  • 4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
  • 4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
  • 4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
  • 6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
  • 6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
  • 10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
  • 4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
  • 12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 12/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • 4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
  • 2. Markov Models/2. Markov Models.mp4 34.1 MB
  • 4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
  • 12/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • 4. Hidden Markov Models for Discrete Observations/18. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
  • 4. Hidden Markov Models for Discrete Observations/4. The 3 Problems of an HMM.mp4 29.4 MB
  • 4. Hidden Markov Models for Discrete Observations/6. The Forward-Backward Algorithm (part 2).mp4 28.9 MB
  • 4. Hidden Markov Models for Discrete Observations/8. The Viterbi Algorithm (part 1).mp4 28.9 MB
  • 3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.3 MB
  • 4. Hidden Markov Models for Discrete Observations/7. The Forward-Backward Algorithm (part 3).mp4 27.2 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
  • 11. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
  • 2. Markov Models/1. The Markov Property.mp4 25.2 MB
  • 2. Markov Models/3. The Math of Markov Chains.mp4 25.1 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
  • 6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.5 MB
  • 4. Hidden Markov Models for Discrete Observations/10. HMM Training (part 1).mp4 21.6 MB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.mp4 20.8 MB
  • 12/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp4 17.3 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp4 17.3 MB
  • 3. Markov Models Example Problems and Applications/6. Suggestion Box.mp4 16.9 MB
  • 3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
  • 6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4 16.0 MB
  • 6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4 15.7 MB
  • 11. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
  • 8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4 15.1 MB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.mp4 14.6 MB
  • 4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp4 10.7 MB
  • 4. Hidden Markov Models for Discrete Observations/19. Scaled Viterbi Algorithm in Log Space.mp4 9.7 MB
  • 3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp4 9.1 MB
  • 8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4 8.9 MB
  • 11. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.mp4 8.2 MB
  • 4. Hidden Markov Models for Discrete Observations/17. The underflow problem and how to solve it.mp4 8.0 MB
  • 4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.mp4 7.8 MB
  • 1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4 7.1 MB
  • 3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4 5.8 MB
  • 13. Appendix FAQ/1. What is the Appendix.mp4 5.7 MB
  • 1. Introduction and Outline/2. Unsupervised or Supervised.mp4 5.5 MB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.mp4 5.2 MB
  • 3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp4 4.9 MB
  • 7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4 4.3 MB
  • 1. Introduction and Outline/4. How to Succeed in this Course.mp4 3.5 MB
  • 1. Introduction and Outline/3. Where to get the Code and Data.mp4 2.2 MB
  • 12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 34.7 kB
  • 12/4. What order should I take your courses in (part 2).srt 25.7 kB
  • 11. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).srt 24.9 kB
  • 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.srt 21.9 kB
  • 4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).srt 21.8 kB
  • 4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).srt 18.9 kB
  • 12/3. What order should I take your courses in (part 1).srt 17.5 kB
  • 4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).srt 16.9 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.srt 16.3 kB
  • 10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15.8 kB
  • 12/1. How to Succeed in this Course (Long Version).srt 15.8 kB
  • 4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.srt 15.8 kB
  • 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.srt 15.4 kB
  • 4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).srt 15.2 kB
  • 11. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).srt 14.4 kB
  • 3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.srt 14.2 kB
  • 6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).srt 13.4 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.srt 13.1 kB
  • 4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).srt 12.8 kB
  • 6. HMMs for Continuous Observations/5. Continuous HMM in Theano.srt 12.2 kB
  • 6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.srt 11.9 kB
  • 4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.srt 11.0 kB
  • 3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.srt 10.9 kB
  • 4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.srt 10.2 kB
  • 4. Hidden Markov Models for Discrete Observations/7. The Forward-Backward Algorithm (part 3).srt 9.8 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.srt 9.7 kB
  • 4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.srt 9.6 kB
  • 2. Markov Models/2. Markov Models.srt 9.5 kB
  • 4. Hidden Markov Models for Discrete Observations/18. Discrete HMM Updates in Code with Scaling.srt 9.2 kB
  • 4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.srt 9.0 kB
  • 7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 9.0 kB
  • 4. Hidden Markov Models for Discrete Observations/6. The Forward-Backward Algorithm (part 2).srt 8.9 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.srt 8.6 kB
  • 13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8.4 kB
  • 4. Hidden Markov Models for Discrete Observations/4. The 3 Problems of an HMM.srt 8.3 kB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.srt 8.1 kB
  • 4. Hidden Markov Models for Discrete Observations/8. The Viterbi Algorithm (part 1).srt 7.9 kB
  • 2. Markov Models/3. The Math of Markov Chains.srt 7.5 kB
  • 3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.srt 7.5 kB
  • 8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.srt 7.2 kB
  • 2. Markov Models/1. The Markov Property.srt 7.1 kB
  • 4. Hidden Markov Models for Discrete Observations/17. The underflow problem and how to solve it.srt 7.1 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.srt 6.8 kB
  • 11. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.srt 6.8 kB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.srt 6.6 kB
  • 4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.srt 6.5 kB
  • 4. Hidden Markov Models for Discrete Observations/10. HMM Training (part 1).srt 6.3 kB
  • 1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.srt 6.1 kB
  • 5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.srt 6.0 kB
  • 6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.srt 5.6 kB
  • 8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.srt 5.3 kB
  • 3. Markov Models Example Problems and Applications/6. Suggestion Box.srt 5.1 kB
  • 3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.srt 4.9 kB
  • 6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.srt 4.7 kB
  • 1. Introduction and Outline/4. How to Succeed in this Course.srt 4.3 kB
  • 1. Introduction and Outline/2. Unsupervised or Supervised.srt 4.1 kB
  • 13. Appendix FAQ/1. What is the Appendix.srt 3.9 kB
  • 3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.srt 3.8 kB
  • 9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.srt 3.8 kB
  • 7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.srt 3.7 kB
  • 6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).srt 3.4 kB
  • 4. Hidden Markov Models for Discrete Observations/19. Scaled Viterbi Algorithm in Log Space.srt 2.8 kB
  • 1. Introduction and Outline/3. Where to get the Code and Data.srt 2.0 kB
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