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[DesireCourse Com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
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01 Introduction and Outline (Size: 710.41 MB) (Files: 51)
01 Introduction and Outline
001 Introduction and Outline Why would you want to use an HMM.mp4
002 Unsupervised or Supervised.mp4
003 Where to get the Code and Data.mp4
004 How to Succeed in this Course.mp4
02 Markov Models
005 The Markov Property.mp4
006 Markov Models.mp4
007 The Math of Markov Chains.mp4
03 Markov Models Example Problems and Applications
008 Example Problem Sick or Healthy.mp4
009 Example Problem Expected number of continuously sick days.mp4
010 Example application SEO and Bounce Rate Optimization.mp4
011 Example Application Build a 2nd-order language model and generate phrases.mp4
012 Example Application Googles PageRank algorithm.mp4
04 Hidden Markov Models for Discrete Observations
013 From Markov Models to Hidden Markov Models.mp4
014 HMMs are Doubly Embedded.mp4
015 How can we choose the number of hidden states.mp4
016 The Forward-Backward Algorithm.mp4
017 Visual Intuition for the Forward Algorithm.mp4
018 The Viterbi Algorithm.mp4
019 Visual Intuition for the Viterbi Algorithm.mp4
020 The Baum-Welch Algorithm.mp4
021 Baum-Welch Explanation and Intuition.mp4
022 Baum-Welch Updates for Multiple Observations.mp4
023 Discrete HMM in Code.mp4
024 The underflow problem and how to solve it.mp4
025 Discrete HMM Updates in Code with Scaling.mp4
026 Scaled Viterbi Algorithm in Log Space.mp4
05 Discrete HMMs Using Deep Learning Libraries
027 Gradient Descent Tutorial.mp4
028 Theano Scan Tutorial.mp4
029 Discrete HMM in Theano.mp4
030 Improving our Gradient Descent-Based HMM.mp4
031 Tensorflow Scan Tutorial.mp4
032 Discrete HMM in Tensorflow.mp4
06 HMMs for Continuous Observations
033 Gaussian Mixture Models with Hidden Markov Models.mp4
034 Generating Data from a Real-Valued HMM.mp4
035 Continuous-Observation HMM in Code part 1.mp4
036 Continuous-Observation HMM in Code part 2.mp4
037 Continuous HMM in Theano.mp4
038 Continuous HMM in Tensorflow.mp4
07 HMMs for Classification
039 Generative vs. Discriminative Classifiers.mp4
040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4
08 Bonus Example Parts-of-Speech Tagging
041 Parts-of-Speech Tagging Concepts.mp4
042 POS Tagging with an HMM.mp4
09 Appendix
043 Review of Gaussian Mixture Models.mp4
044 Theano Tutorial.mp4
045 Tensorflow Tutorial.mp4
046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
047 How to Code by Yourself part 1.mp4
048 How to Code by Yourself part 2.mp4
049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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