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

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

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收录时间：2022-02-10
最近下载：2024-12-03

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文件列表

  • 04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4 49.7 MB
  • 06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4 49.0 MB
  • 06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4 47.6 MB
  • 09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4 32.2 MB
  • 04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
  • 03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
  • 09 Appendix/047 How to Code by Yourself part 1.mp4 25.7 MB
  • 07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4 25.6 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4 24.9 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4 24.2 MB
  • 06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4 23.5 MB
  • 09 Appendix/044 Theano Tutorial.mp4 20.8 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4 17.2 MB
  • 03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
  • 06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4 16.0 MB
  • 06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4 15.7 MB
  • 09 Appendix/048 How to Code by Yourself part 2.mp4 15.5 MB
  • 08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4 15.1 MB
  • 09 Appendix/045 Tensorflow Tutorial.mp4 14.6 MB
  • 04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp4 12.5 MB
  • 04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10.7 MB
  • 04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp4 9.7 MB
  • 02 Markov Models/007 The Math of Markov Chains.mp4 9.5 MB
  • 01 Introduction and Outline/004 How to Succeed in this Course.mp4 9.2 MB
  • 03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 9.1 MB
  • 08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp4 8.9 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp4 8.8 MB
  • 02 Markov Models/005 The Markov Property.mp4 8.7 MB
  • 02 Markov Models/006 Markov Models.mp4 8.6 MB
  • 05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp4 8.4 MB
  • 04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp4 8.0 MB
  • 04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp4 7.8 MB
  • 04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7.7 MB
  • 04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 7.1 MB
  • 01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 7.1 MB
  • 06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp4 6.6 MB
  • 04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6.3 MB
  • 04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4 6.0 MB
  • 03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 5.8 MB
  • 01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5.5 MB
  • 04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5.3 MB
  • 09 Appendix/043 Review of Gaussian Mixture Models.mp4 5.2 MB
  • 03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 4.9 MB
  • 04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4 4.6 MB
  • 07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp4 4.3 MB
  • 09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
  • 04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3.3 MB
  • 01 Introduction and Outline/003 Where to get the Code and Data.mp4 2.2 MB
  • [DesireCourse.Com].txt 754 Bytes
  • [DesireCourse.Com].url 51 Bytes

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