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01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 6.78 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5.27 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4 2.09 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 8.78 MB
02 Markov Models/005 The Markov Property.mp4 8.31 MB
02 Markov Models/006 Markov Models.mp4 8.17 MB
02 Markov Models/007 The Math of Markov Chains.mp4 9.04 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 5.54 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 4.63 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 15.82 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 26.93 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 8.72 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10.17 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3.14 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7.34 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 6.78 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6.03 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5.03 MB
04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4 5.73 MB
04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4 4.35 MB
04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp4 11.96 MB
04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp4 7.48 MB
04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4 47.42 MB
04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp4 7.65 MB
04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4 29.14 MB
04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp4 9.23 MB
05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp4 8.43 MB
05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4 23.76 MB
05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4 30.74 MB
05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp4 8 MB
05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4 23.07 MB
05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4 16.44 MB
06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp4 6.27 MB
06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4 14.94 MB
06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4 46.69 MB
06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4 15.28 MB
06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4 45.41 MB
06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4 22.45 MB
07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp4 4.12 MB
07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4 24.39 MB
08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp4 8.51 MB
08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4 14.38 MB
09 Appendix/043 Review of Gaussian Mixture Models.mp4 4.99 MB
09 Appendix/044 Theano Tutorial.mp4 19.86 MB
09 Appendix/045 Tensorflow Tutorial.mp4 13.88 MB
09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.92 MB
09 Appendix/047 How to Code by Yourself part 1.mp4 24.53 MB
09 Appendix/048 How to Code by Yourself part 2.mp4 14.8 MB
09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.02 MB
[DesireCourse.Com].txt 754 B
[DesireCourse.Com].url 51 B
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