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Markov Models: Understanding Data Science, Markov Models, and Unsupervised Machine Learning in Python

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Do you want to master data science? Want to learn how machine learning systems can carry out multifaceted processes by learning from data? How about understand Markov models and how they can help your correctly forecast future events? Want to explore practical implementations of Markov models in a Python programming environment? Then you should download your copy today. 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 audiobook 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 audiobook will explore practical implementations of Markov models in a Python programming environment.

You'll



Types of machine learning algorithms The mathematics behind Markov algorithms Application of Markov models in python programming

Application of Markov models



Gaming Speech recognition Weather reporting And much much more!

Download your copy today to gain a huge advantage over your competitors.

Audible Audio

Published August 21, 2017

28 people are currently reading
9 people want to read

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7 books

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Profile Image for Andrew Obrigewitsch.
951 reviews166 followers
May 9, 2018
I listened to this as an audiobook and must say that it doesn't translate to audio book well at all. It's nearly impossible to visualize mathematical formulas and computer code read aloud.

I'm sure it's mush better in a written format.
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