Computers & Internet Books:

Machine Learning Applications Using Python

Cases Studies from Healthcare, Retail, and Finance
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$139.00
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Description

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented.  Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning.  What You Will Learn Discover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and machine learning professionals.  

Author Biography:

Puneet Mathur, MBA, PMP, CCD is a data scientist and machine learning consultant and alumni of IIM Bangalore in Business Analytics and Intelligence. He is a predictor and author of international bestsellers that teach people to predict in the right way. Throughout his career spanning 18 years, he has researched techniques of Predictive Analytics, Statistics and Machine Learning in relevant business domains.
Release date NZ
December 13th, 2018
Author
Pages
379
Edition
1st ed.
Audience
  • Professional & Vocational
Illustrations
80 Illustrations, black and white; XVIII, 379 p. 80 illus.
ISBN-13
9781484237861
Product ID
28124832

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