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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retai

Description: FREE SHIPPING UK WIDE Machine Learning Applications Using Python 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: youll 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. Youll 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 LearnDiscover applied machine learning processes and principlesImplement machine learning in areas of healthcare, finance, and retailAvoid the pitfalls of implementing applied machine learningBuild Python machine learning examples in the three subject areasWho This Book Is ForData scientists and machine learning professionals. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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: youll 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. Youll 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 Author Biography 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. 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 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. Feature 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 Details ISBN1484237862 Author Puneet Mathur Publisher APress Edition 1st ISBN-10 1484237862 ISBN-13 9781484237861 Format Paperback Imprint APress Subtitle Cases Studies from Healthcare, Retail, and Finance Place of Publication Berkley Country of Publication United States DEWEY 006.31 Pages 379 Illustrations 80 Illustrations, black and white; XVIII, 379 p. 80 illus. Year 2018 Publication Date 2018-12-13 Short Title Machine Learning Applications Using Python Language English DOI 10.1007/978-1-4842-3787-8 UK Release Date 2018-12-13 AU Release Date 2018-12-13 NZ Release Date 2018-12-13 US Release Date 2018-12-13 Edition Description 1st ed. Alternative 9781484247143 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:137649335;

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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retai

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ISBN-13: 9781484237861

Book Title: Machine Learning Applications Using Python

Number of Pages: 379 Pages

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

Language: English

Publisher: Apress

Item Height: 254 mm

Subject: Computer Science

Publication Year: 2018

Type: Textbook

Item Weight: 758 g

Author: Puneet Mathur

Item Width: 178 mm

Format: Paperback

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