|Hands-On Markov Models with Python (Packt)|
|Thursday, 13 December 2018|
This book shows how to get to grips with Hidden Markov Models and different inference algorithms by working on real-world problems. It covers Markov processes, models, and types, the different algorithms used in inferences and how to apply them in state and parameter inference. Use of HMMs in time series analysis and natural language processing (NLP) using Python is also covered, as well as the use of HMM for reinforcement learning with the help of Q-Learning. Ankur Ankan and Abinash Panda use hands-on examples to simplify the process flow in machine learning by using Markov model concepts.
Author: Ankur Ankan and Abinash Panda
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