Hands-On Markov Models with Python
Hands-On Markov Models with Python:
Implement probabilistic models for learning complex data sequences using the Python ecosystem
by Ankur Ankan, Abinash Panda
English | 2018 | ISBN: 1788625447 | 178 Pages | PDF,MOBI (True) | 55 MB
Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.