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.

<ASIN:1788625447>

 

Author: Ankur Ankan and Abinash Panda
Publisher: Packt
Date: September 2018
Pages: 178
ISBN: 978-1788625449
Print: 1788625447
Kindle: B07CSHB8NW
Audience: Python developers interested in Markov models.
Level: Intermediate
Category: Artificial Intelligence and Python

  • Explore a balance of both theoretical and practical aspects of HMM
  • Implement HMMs using different datasets in Python using different packages
  • Understand multiple inference algorithms and how to select the right algorithm to resolve your problems
  • Develop a Bayesian approach to inference in HMMs
  • Implement HMMs in finance, natural language processing (NLP), and image processing
  • Determine the most likely sequence of hidden states in an HMM using the Viterbi algorithm

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Python Playground

Author: Mahesh Venkitachalam
Publisher: No Starch Press
Pages:352 
ISBN: 978-1593276041
Print:1593276044
Kindle:B017AH8H7I
Audience: Python Programmers
Rating:  4
Reviewer: Alex Armstrong

 

If you don't already see Python as a potential playground you probably haven't us [ ... ]



Real World Haskell: Code You Can Believe In

Author: Bryan O'Sullivan, John Goerzen & Don Stewart
Publisher: O'Reilly, 2008
Pages: 710
ISBN: 978-0596514983
Print: 0596514980
Kindle: B0026OR2FY
Aimed at: Developers with some familiarity with Haskell
Rating: 4
Reviewed by: Ian Elliot

Haskell is a functional programming language with an ac [ ... ]


More Reviews