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

Puneet Mathur

  • 出版商: Apress
  • 出版日期: 2018-12-13
  • 售價: $2,300
  • 貴賓價: 9.5$2,185
  • 語言: 英文
  • 頁數: 379
  • 裝訂: Paperback
  • ISBN: 1484237862
  • ISBN-13: 9781484237861
  • 相關分類: Python程式語言Machine Learning
  • 立即出貨(限量) (庫存=2)

商品描述

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.  
 

商品描述(中文翻譯)

獲得金融、醫療保健和零售領域機器學習的實用技能。本書通過提供來自這些領域的案例研究,採用實踐方法,展示了如何將機器學習作為業務增強的工具。作為領域專家,您不僅會發現機器學習在金融、醫療保健和零售中的應用,還會通過實際案例研究來了解機器學習的實施情況。

《使用Python的機器學習應用》分為三個部分,分別涵蓋醫療保健、金融和零售領域。每個部分都以機器學習的概述和該領域的關鍵技術進展開始。然後,通過使用案例研究,您將更深入地了解組織如何在所選市場中改變遊戲規則。本書提供了具有Python代碼和領域特定創新思想的實際案例研究,以實現機器學習的商業價值。

您將學到什麼

- 探索應用機器學習的過程和原則
- 在醫療保健、金融和零售領域實施機器學習
- 避免實施應用機器學習的陷阱
- 在這三個主題領域中構建Python機器學習示例

本書適合對象

數據科學家和機器學習專業人士。