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