Markov Models: Understanding Data Science, Markov Models And Unsupervised Machine Learning In Python | 71 | Code, Duo | 2017 |
Do you want to MASTER data science?
Learn how machine learning systems can carry out multifaceted processes by learning from data?
Understand markov models and how they can help your correctly forecast future events?
Want to explore practical implementations of Markov models in Python programming environment?
The aim of machine learning is to train the computers or machine to learn on its own and make informed decisions in a relatively shorter time than what human beings can do.
The primary objective of this book is to provide you with all the ins and outs of Markov models and unsupervised machine learning over a range of multi-faceted applications. Specifically, the book will explore practical implementations of Markov models in Python programming environment.
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