Unsupervised Machine Learning Hidden Markov Models in Python

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1.91 GB | 20min 20s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
001 Introduction and Outline Why would you want to use an HMM.mp4 (34.15 MB)
002 Where to get the Code and Data.mp4 (73.24 MB)
003 How to Succeed in this Course.mp4 (16.22 MB)
001 The Markov Property.mp4 (32.25 MB)
002 Markov Models.mp4 (45.85 MB)
003 Probability Smoothing and Log-Space.mp4 (34.04 MB)
004 The Math of Markov Chains.mp4 (58.93 MB)
001 Example Problem Sick or Healthy.mp4 (5.14 MB)
002 Example Problem Expected number of continuously sick days.mp4 (4.3 MB)
003 Example application SEO and Bounce Rate Optimization.mp4 (29.73 MB)
004 Example Application Build a 2nd-order language model and generate phrases.mp4 (29.61 MB)
005 Example Application Google's PageRank algorithm.mp4 (12.35 MB)
006 Suggestion Box.mp4 (27.17 MB)
001 From Markov Models to Hidden Markov Models.mp4 (11.59 MB)
002 HMM - Basic Examples.mp4 (15.04 MB)
003 Parameters of an HMM.mp4 (12.68 MB)
004 The 3 Problems of an HMM.mp4 (10.29 MB)
005 The Forward-Backward Algorithm (part 1).mp4 (26.01 MB)
006 The Forward-Backward Algorithm (part 2).mp4 (11.28 MB)
007 The Forward-Backward Algorithm (part 3).mp4 (12.06 MB)
008 The Viterbi Algorithm (part 1).mp4 (10.5 MB)
009 The Viterbi Algorithm (part 2).mp4 (24.01 MB)
010 HMM Training (part 1).mp4 (8.07 MB)
011 HMM Training (part 2).mp4 (15.92 MB)
012 HMM Training (part 3).mp4 (27.29 MB)
013 HMM Training (part 4).mp4 (21.84 MB)
014 How to Choose the Number of Hidden States.mp4 (13.32 MB)
015 Baum-Welch Updates for Multiple Observations.mp4 (8.91 MB)
016 Discrete HMM in Code.mp4 (69.48 MB)
017 The underflow problem and how to solve it.mp4 (9.47 MB)
018 Discrete HMM Updates in Code with Scaling.mp4 (34.28 MB)
019 Scaled Viterbi Algorithm in Log Space.mp4 (10.93 MB)
001 Gradient Descent Tutorial.mp4 (15.19 MB)
002 Theano Scan Tutorial.mp4 (33.63 MB)
003 Discrete HMM in Theano.mp4 (33.69 MB)
004 Improving our Gradient Descent-Based HMM.mp4 (10.08 MB)
005 Tensorflow Scan Tutorial.mp4 (41.48 MB)
006 Discrete HMM in Tensorflow.mp4 (50.58 MB)
001 Gaussian Mixture Models with Hidden Markov Models.mp4 (7.18 MB)
002 Generating Data from a Real-Valued HMM.mp4 (20.95 MB)
003 Continuous-Observation HMM in Code (part 1).mp4 (54.3 MB)
004 Continuous-Observation HMM in Code (part 2).mp4 (41.68 MB)
005 Continuous HMM in Theano.mp4 (64.28 MB)
006 Continuous HMM in Tensorflow.mp4 (65.25 MB)
001 Unsupervised or Supervised.mp4 (6.72 MB)
002 Generative vs Discriminative Classifiers.mp4 (5.31 MB)
003 HMM Classification on Poetry Data (Robert Frost vs Edgar Allan Poe).mp4 (34.72 MB)
001 Parts-of-Speech Tagging Concepts.mp4 (9.69 MB)
002 POS Tagging with an HMM.mp4 (15.38 MB)
001 (Review) Gaussian Mixture Models.mp4 (4.64 MB)
002 (Review) Theano Tutorial.mp4 (40.74 MB)
003 (Review) Tensorflow Tutorial.mp4 (23.33 MB)
001 Pre-Installation Check.mp4 (8.92 MB)
002 Anaconda Environment Setup.mp4 (168.03 MB)
003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (109.17 MB)
001 How to Code by Yourself (part 1).mp4 (56.12 MB)
002 How to Code by Yourself (part 2).mp4 (20.87 MB)
003 Proof that using Jupyter Notebook is the same as not using it.mp4 (37.08 MB)
004 Python 2 vs Python 3.mp4 (7.61 MB)
001 How to Succeed in this Course (Long Version).mp4 (17.87 MB)
002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (42.45 MB)
003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (27.51 MB)
004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (81.2 MB)
001 What is the Appendix.mp4 (6.15 MB)
002 BONUS.mp4 (39.93 MB)]
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