Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance, Paperback

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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance, Paperback

Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance, Paperback

Puneet Mathur, Mathur

379

Pagini

2018

An

Paperback

Copertă

Adaugă în bibliotecă
Editura Apress
Copertă Paperback
Pagini 379
An publicare 2018
ISBN 9781484237861
Categorii
Informatică & Programare

Descriere

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 no...

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.

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