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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance [9781484237861]

Paperback
SKU: 9781484237861
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

Price $79.99

Total for 25 copies:

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Overview

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.  



The book, Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance [Bulk, Wholesale, Quantity] ISBN#9781484237861 in Paperback by Puneet Mathur may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Puneet Mathur
Format:
Paperback
Publication Date:
12/13/2018
ISBN-13:
9781484237861
Pages:
379
Publisher:
Apress

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