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01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4
6.78MB
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01 Introduction and Outline/002 Unsupervised or Supervised.mp4
5.27MB
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01 Introduction and Outline/003 Where to get the Code and Data.mp4
2.09MB
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01 Introduction and Outline/004 How to Succeed in this Course.mp4
8.78MB
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02 Markov Models/005 The Markov Property.mp4
8.31MB
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02 Markov Models/006 Markov Models.mp4
8.17MB
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02 Markov Models/007 The Math of Markov Chains.mp4
9.04MB
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03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4
5.54MB
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03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4
4.63MB
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03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4
15.82MB
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03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4
26.93MB
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03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4
8.72MB
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04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4
10.17MB
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04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4
3.14MB
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04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4
7.34MB
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04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4
6.78MB
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04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4
6.03MB
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04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4
5.03MB
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04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4
5.73MB
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04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4
4.35MB
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04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp4
11.96MB
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04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp4
7.48MB
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04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4
47.42MB
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04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp4
7.65MB
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04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4
29.14MB
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04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp4
9.23MB
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05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp4
8.43MB
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05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4
23.76MB
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05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4
30.74MB
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05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp4
8MB
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05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4
23.07MB
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05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4
16.44MB
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06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp4
6.27MB
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06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4
14.94MB
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06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4
46.69MB
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06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4
15.28MB
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06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4
45.41MB
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06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4
22.45MB
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07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp4
4.12MB
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07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4
24.39MB
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08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp4
8.51MB
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08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4
14.38MB
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09 Appendix/043 Review of Gaussian Mixture Models.mp4
4.99MB
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09 Appendix/044 Theano Tutorial.mp4
19.86MB
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09 Appendix/045 Tensorflow Tutorial.mp4
13.88MB
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09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
43.92MB
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09 Appendix/047 How to Code by Yourself part 1.mp4
24.53MB
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09 Appendix/048 How to Code by Yourself part 2.mp4
14.8MB
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09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
4.02MB
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[FreeTutorials.Us].txt
75B
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