Publicado el diciembre de 2018 (ePub) en Inglés

Machine Learning Applications Using Python

Cases Studies from Healthcare, Retail, and Finance

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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...
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Fecha de lanzamiento

diciembre 2018

Editor

Apress

Formato

ePub

Precio Prix Fnac

69,98 €

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Resumen

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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Características

Editor

Apress

Fecha de lanzamiento

diciembre 2018

Colección

Professional and Applied Computing (R0)

EAN

9781484237878

ISBN

9781484237878

SKU

1003833653

Publicidad

Publicidad