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Unsupervised Machine Learning Hidden Markov Models in Python

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Unsupervised Machine Learning Hidden Markov Models in Python, HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.

Created by Lazy Programmer Inc.

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What Will I Learn?
  • Understand and enumerate the various applications of Markov Models and Hidden Markov Models
  • Understand how Markov Models work
  • Write a Markov Model in code
  • Apply Markov Models to any sequence of data
  • Understand the mathematics behind Markov chains
  • Apply Markov models to language
  • Apply Markov models to website analytics
  • Understand how Google's PageRank works
  • Understand Hidden Markov Models
  • Write a Hidden Markov Model in Code
  • Write a Hidden Markov Model using Theano
  • Understand how gradient descent, which is normally used in deep learning, can be used for HMMs

Requirements
  • Familiarity with probability and statistics
  • Understand Gaussian mixture models
  • Be comfortable with Python and Numpy
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