Unsupervised Machine Learning Hidden Markov Models in Python | 44825F9835A8B3F5C4E31788B03DC5406AAD7F48

Unsupervised Machine Learning Hidden Markov Models in Python

Name	Unsupervised Machine Learning Hidden Markov Models in Python	DOWNLOAD Copy Link
Total Size	744.9 MB
Total Files	51
Hash	44825F9835A8B3F5C4E31788B03DC5406AAD7F48

/
Tutsem.com.lnk	2.8 KB
TUTSEM.COM.txt	0.3 KB
/01 Introduction and Outline/
001 Introduction and Outline Why would you want to use an HMM.mp4	7.1 MB
002 Unsupervised or Supervised.mp4	5.5 MB
003 Where to get the Code and Data.mp4	2.2 MB
004 How to Succeed in this Course.mp4	9.2 MB
/02 Markov Models/
005 The Markov Property.mp4	8.7 MB
006 Markov Models.mp4	8.6 MB
007 The Math of Markov Chains.mp4	9.5 MB
/03 Markov Models Example Problems and Applications/
008 Example Problem Sick or Healthy.mp4	5.8 MB
009 Example Problem Expected number of continuously sick days.mp4	4.9 MB
010 Example application SEO and Bounce Rate Optimization.mp4	16.6 MB
011 Example Application Build a 2nd-order language model and generate phrases.mp4	28.2 MB
012 Example Application Googles PageRank algorithm.mp4	9.1 MB
/04 Hidden Markov Models for Discrete Observations/
013 From Markov Models to Hidden Markov Models.mp4	10.7 MB
014 HMMs are Doubly Embedded.mp4	3.3 MB
015 How can we choose the number of hidden states.mp4	7.7 MB
016 The Forward-Backward Algorithm.mp4	7.1 MB
017 Visual Intuition for the Forward Algorithm.mp4	6.3 MB
018 The Viterbi Algorithm.mp4	5.3 MB
019 Visual Intuition for the Viterbi Algorithm.mp4	6.0 MB
020 The Baum-Welch Algorithm.mp4	4.6 MB
021 Baum-Welch Explanation and Intuition.mp4	12.5 MB
022 Baum-Welch Updates for Multiple Observations.mp4	7.8 MB
023 Discrete HMM in Code.mp4	49.7 MB
024 The underflow problem and how to solve it.mp4	8.0 MB
025 Discrete HMM Updates in Code with Scaling.mp4	30.6 MB
026 Scaled Viterbi Algorithm in Log Space.mp4	9.7 MB
/05 Discrete HMMs Using Deep Learning Libraries/
027 Gradient Descent Tutorial.mp4	8.8 MB
028 Theano Scan Tutorial.mp4	24.9 MB
029 Discrete HMM in Theano.mp4	32.2 MB
030 Improving our Gradient Descent-Based HMM.mp4	8.4 MB
031 Tensorflow Scan Tutorial.mp4	24.2 MB
032 Discrete HMM in Tensorflow.mp4	17.2 MB
/06 HMMs for Continuous Observations/
033 Gaussian Mixture Models with Hidden Markov Models.mp4	6.6 MB
034 Generating Data from a Real-Valued HMM.mp4	15.7 MB
035 Continuous-Observation HMM in Code part 1.mp4	49.0 MB
036 Continuous-Observation HMM in Code part 2.mp4	16.0 MB
037 Continuous HMM in Theano.mp4	47.6 MB
038 Continuous HMM in Tensorflow.mp4	23.5 MB
/07 HMMs for Classification/
039 Generative vs. Discriminative Classifiers.mp4	4.3 MB
040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4	25.6 MB
/08 Bonus Example Parts-of-Speech Tagging/
041 Parts-of-Speech Tagging Concepts.mp4	8.9 MB
042 POS Tagging with an HMM.mp4	15.1 MB
/09 Appendix/
043 Review of Gaussian Mixture Models.mp4	5.2 MB
044 Theano Tutorial.mp4	20.8 MB
045 Tensorflow Tutorial.mp4	14.6 MB
046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
047 How to Code by Yourself part 1.mp4	25.7 MB
048 How to Code by Yourself part 2.mp4	15.5 MB
049 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
Total files 51