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fileUnsupervised-chine-Learn-1mfZr

Unsupervised chine Learning Hidden Markov Models Python
  • MP401 Introduction and Outline\\/001 Introduction and Outline Why would you want to use an HMM.mp46.78MB
  • MP401 Introduction and Outline\\/002 Unsupervised or Supervised.mp45.27MB
  • MP401 Introduction and Outline\\/003 Where to get the Code and Data.mp42.09MB
  • MP401 Introduction and Outline\\/004 How to Succeed in this Course.mp48.78MB
  • MP402 rkov Models\\/005 The Markov Property.mp48.31MB
  • MP402 rkov Models\\/006 Markov Models.mp48.17MB
  • MP402 rkov Models\\/007 The Math of Markov Chains.mp49.04MB
  • MP403 rkov Models Example Problems and Applications\\/008 Example Problem Sick or Healthy.mp45.54MB
  • MP403 rkov Models Example Problems and Applications\\/009 Example Problem Expected number of continuously sick days.mp44.63MB
  • MP403 rkov Models Example Problems and Applications\\/010 Example application SEO and Bounce Rate Optimization.mp415.82MB
  • MP403 rkov Models Example Problems and Applications\\/011 Example Application Build a 2nd-order language model and generate phrases.mp426.93MB
  • MP403 rkov Models Example Problems and Applications\\/012 Example Application Googles PageRank algorithm.mp48.72MB
  • MP404 Hidden rkov Models for Discrete Observations\\/013 From Markov Models to Hidden Markov Models.mp410.17MB
  • MP404 Hidden rkov Models for Discrete Observations\\/014 HMMs are Doubly em<x>bedded.mp43.14MB
  • MP404 Hidden rkov Models for Discrete Observations\\/015 How can we choose the number of hidden states.mp47.34MB
  • MP404 Hidden rkov Models for Discrete Observations\\/016 The Forward-Backward Algorithm.mp46.78MB
  • MP404 Hidden rkov Models for Discrete Observations\\/017 Visual Intuition for the Forward Algorithm.mp46.03MB
  • MP404 Hidden rkov Models for Discrete Observations\\/018 The Viterbi Algorithm.mp45.03MB
  • MP404 Hidden rkov Models for Discrete Observations\\/019 Visual Intuition for the Viterbi Algorithm.mp45.73MB
  • MP404 Hidden rkov Models for Discrete Observations\\/020 The Baum-Welch Algorithm.mp44.35MB
  • MP404 Hidden rkov Models for Discrete Observations\\/021 Baum-Welch Explanation and Intuition.mp411.96MB
  • MP404 Hidden rkov Models for Discrete Observations\\/022 Baum-Welch Updates for Multiple Observations.mp47.48MB
  • MP404 Hidden rkov Models for Discrete Observations\\/023 Discrete HMM in Code.mp447.42MB
  • MP404 Hidden rkov Models for Discrete Observations\\/024 The underflow problem and how to solve it.mp47.65MB
  • MP404 Hidden rkov Models for Discrete Observations\\/025 Discrete HMM Updates in Code with Scaling.mp429.14MB
  • MP404 Hidden rkov Models for Discrete Observations\\/026 Scaled Viterbi Algorithm in Log Space.mp49.23MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/027 Grant Descent Tutorial.mp48.43MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/028 Theano Scan Tutorial.mp423.76MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/029 Discrete HMM in Theano.mp430.74MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/030 Improving our Grant Descent-ba<x>sed HMM.mp48.00MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/031 Tensorflow Scan Tutorial.mp423.07MB
  • MP405 Discrete HMMs Using Deep Learning Libraries\\/032 Discrete HMM in Tensorflow.mp416.44MB
  • MP406 HMMs for Continuous Observations\\/033 Gaussian Mixture Models with Hidden rkov Models.mp46.27MB
  • MP406 HMMs for Continuous Observations\\/034 Generating Data from a Real-Valued HMM.mp414.94MB
  • MP406 HMMs for Continuous Observations\\/035 Continuous-Observation HMM in Code part 1.mp446.69MB
  • MP406 HMMs for Continuous Observations\\/036 Continuous-Observation HMM in Code part 2.mp415.28MB
  • MP406 HMMs for Continuous Observations\\/037 Continuous HMM in Theano.mp445.41MB
  • MP406 HMMs for Continuous Observations\\/038 Continuous HMM in Tensorflow.mp422.45MB
  • MP407 HMMs for Classification\\/039 Generative vs. Discriminative Classifiers.mp44.12MB
  • MP407 HMMs for Classification\\/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp424.39MB
  • MP408 Bonus Example Parts-of-Speech Tagging\\/041 Parts-of-Speech Tagging Concepts.mp48.51MB
  • MP408 Bonus Example Parts-of-Speech Tagging\\/042 POS Tagging with an HMM.mp414.38MB
  • MP409 Appendix\\/043 Review of Gaussian Mixture Models.mp44.99MB
  • MP409 Appendix\\/044 Theano Tutorial.mp419.86MB
  • MP409 Appendix\\/045 Tensorflow Tutorial.mp413.88MB
  • MP409 Appendix\\/046 How to install Numpy Scipy tplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
  • MP409 Appendix\\/047 How to Code by Yourself part 1.mp424.53MB
  • MP409 Appendix\\/048 How to Code by Yourself part 2.mp414.80MB
  • MP409 Appendix\\/049 BONUS Where to get Udemy coupons and FREE deep learning terial.mp44.02MB
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