Overview
- Shows you how to maximize your return on investment in machine learning
- Covers applications of machine learning in healthcare, retail, and finance
- Covers common machine learning algorithms, methods, and tuning for use in healthcare, finance, and retail
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Machine Learning Applications Using Python
Book Subtitle: Cases Studies from Healthcare, Retail, and Finance
Authors: Puneet Mathur
DOI: https://doi.org/10.1007/978-1-4842-3787-8
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Puneet Mathur 2019
Softcover ISBN: 978-1-4842-3786-1Published: 13 December 2018
eBook ISBN: 978-1-4842-3787-8Published: 12 December 2018
Edition Number: 1
Number of Pages: XVIII, 379
Number of Illustrations: 80 b/w illustrations
Topics: Artificial Intelligence, Python, Open Source