Machine Learning Applications Using Python : Cases Studies from Healthcare, Retail, and Finance / by Puneet Mathur.

Format:

Book

Author/Creator:

Mathur, Puneet, Author.

Language:

English

Subjects (All):

Artificial intelligence.

Python (Computer program language).

Open source software.

Artificial Intelligence.

Python.

Open Source.

Local Subjects:

Artificial Intelligence.

Python.

Open Source.

Physical Description:

1 online resource (384 pages)

Edition:

1st ed. 2019.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2019.

System Details:

text file

Summary:

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. You will: 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.

Contents:

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 in finance

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. .

Notes:

Includes bibliographical references and index.

ISBN:

9781484237878

1484237870

OCLC:

1085513972