Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Book Name: Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
Author: Pratap Dangeti
Publisher: Packt Publishing
ISBN-10: 1788295757,9781788295758
Year: 2017
Pages: 442
Language: English
File size: 16 Mb
File format: PDF

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Pdf Book Description:

Sophisticated statistics in Machine Learning stress a whole lot of programmers. Knowing statistics makes it possible to build powerful Machine Learning models which are optimized for a given problem statement. This book will teach you everything it requires to execute complex statistical computations necessary for Machine Learning.

You will acquire information on data behind supervised learning, unsupervised learning, reinforcement learning, and much more. Know the real world examples which talk about the statistical side of Machine Learning and familiarize yourself with it. You’ll also design applications for performing tasks like design, parameter fitting, regression, classification, density selection, and much more.

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