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OverviewFull Product DetailsAuthor: Puneet MathurPublisher: APress Imprint: APress Edition: 1st ed. Weight: 0.758kg ISBN: 9781484237861ISBN 10: 1484237862 Pages: 379 Publication Date: 13 December 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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.ReviewsAuthor InformationPuneet 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. Tab Content 6Author Website:Countries AvailableAll regions |