Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2/e (Hardcover)

An up-to-date introduction to a market-leading platform for data analysis and machine learning

Machine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an increasingly powerful business tool, driving ever more refined data analysis and decision-making. In recent years, JMP Pro(R) has emerged as one of the most effective and widely-used commercial analysis and data mining tools on the market, using machine learning to produce automated solutions to a range of data analysis needs.

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. offers an accessible and engaging introduction to machine learning using this market-leading software. It provides concrete examples and case studies to educate new users and deepen existing users' understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses.

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. readers will also find:

• Updated material which improves the book's usefulness as a reference for professionals beyond the classroom
• Four new chapters, covering topics including Text Mining and Responsible Data Science
• A guide to JMP Pro(R)'s new features and enhanced functionality

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

《機器學習在商業分析中的概念、技術和應用：使用JMP Pro(R)第二版》是一本關於機器學習的最新介紹，該書介紹了一個市場領先的數據分析和機器學習平台。

機器學習是通過累積數據和經驗，使計算機算法逐漸變得更加有效的過程。作為人工智能的一個子集，它是一個越來越強大的商業工具，推動著越來越精細的數據分析和決策。近年來，JMP Pro(R)已成為市場上最有效和廣泛使用的商業分析和數據挖掘工具之一，利用機器學習來提供自動化解決方案，滿足各種數據分析需求。

《機器學習在商業分析中的概念、技術和應用：使用JMP Pro(R)第二版》提供了一個易於理解且引人入勝的機器學習介紹，使用這個市場領先的軟件。它提供了具體的例子和案例研究，以教育新用戶並加深現有用戶對其數據和業務的理解。全面更新以納入新的主題和教學材料，這仍然是唯一一本針對企業需求量身定制的這一關鍵分析工具的全面介紹。

《機器學習在商業分析中的概念、技術和應用：使用JMP Pro(R)第二版》讀者還將找到：

- 更新的材料，提高了本書作為專業人士參考的實用性
- 四個新章節，包括文本挖掘和負責任的數據科學
- 一個指南，介紹JMP Pro(R)的新功能和增強功能

《機器學習在商業分析中的概念、技術和應用：使用JMP Pro(R)第二版》非常適合商業分析和數據挖掘課程的學生和教師，以及數據科學從業人員和數據驅動型行業的專業人士。

Galit Shmueli, PhD is Distinguished Professor at National Tsing Hua University's Institute of Service Science. She has designed and instructed business analytics courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan.

Peter C. Bruce is Founder of the Institute for Statistics Education at Statistics.com, and Chief Learning Officer at Elder Research, Inc.

Mia L. Stephens, M.S. is an Advisory Product Manager with JMP, driving the product vision and roadmaps for JMP(R) and JMP Pro(R).

Muralidhara Anandamurthy, PhD is an Academic Ambassador with JMP, overseeing technical support for academic users of JMP Pro(R).

Nitin R. Patel, PhD is cofounder and lead researcher at Cytel Inc. He is also a Fellow of the American Statistical Association and has served as a visiting professor at the Massachusetts Institute of Technology and Harvard University, among others.

Galit Shmueli, PhD 是國立清華大學服務科學研究所的傑出教授。她自2004年起在馬里蘭大學、Statistics.com、印度商學院和國立清華大學等地設計並教授商業分析課程。

Peter C. Bruce 是Statistics.com的統計教育研究所創辦人，也是Elder Research, Inc.的首席學習官。

Mia L. Stephens, M.S. 是JMP的顧問產品經理，負責推動JMP(R)和JMP Pro(R)的產品願景和路線圖。

Muralidhara Anandamurthy, PhD 是JMP的學術大使，負責監督JMP Pro(R)的學術用戶的技術支援。

Nitin R. Patel, PhD 是Cytel Inc.的共同創辦人和首席研究員。他也是美國統計協會的會士，曾在麻省理工學院和哈佛大學等地擔任訪問教授。