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

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

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...

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Bibliographic Details
Main Author: Mathur, Puneet (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
Edition:1st ed. 2019.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of 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. .

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