Machine Learning Applications Using Python

Cases Studies from Healthcare, Retail, and Finance

Puneet Mathur (Autor)

Buch | Softcover

379 Seiten

2018 | 1st ed.
Apress (Verlag)
978-1-4842-3786-1 (ISBN)

Artikel merken

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.

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.

Chapter 1. Overview of machine learning in healthcare.- Chapter 2. Key technological advancements in healthcare.- Chapter 3. How to implement machine learning in healthcare.- Chapter 4. Case studies on how organizations are changing the game in the market.- Chapter 5. Pitfalls to avoid while implementing machine learning in healthcare.- Chapter 6. Healthcare specific innovative Ideas for monetizing machine learning.- Chapter 7. Overview of machine learning in retail.- Chapter 8. Key technological advancements in retail.- Chapter 9. How to implement machine learning in retail.- Chapter 10. Case studies on how organizations are changing the game in the market.- Chapter 11. Pitfalls to avoid while implementing machine learning in retail.- Chapter 12. Retail specific innovative Ideas for monetizing machine learning.- Chapter 13. Overview of machine learning in finance.- Chapter 14. Key technological advancements in finance.- Chapter 15. How to implement machine learning infinance.- Chapter 16. Case studies on how organizations are changing the game in the market.- Chapter 17. Pitfalls to avoid while implementing machine learning in finance.- Chapter 18. Finance specific innovative Ideas for monetizing machine learning.

Erscheinungsdatum	28.12.2018
Zusatzinfo	80 Illustrations, black and white; XVIII, 379 p. 80 illus.
Verlagsort	Berkley
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Informatik ► Programmiersprachen / -werkzeuge ► Python
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Finance • Healthcare • machine learning • Python • Retail
ISBN-10	1-4842-3786-2 / 1484237862
ISBN-13	978-1-4842-3786-1 / 9781484237861
Zustand	Neuware