Machine Learning for Business Analytics

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<b>MACHINE LEARNING FOR BUSINESS ANALYTICS</b><p><b>An up-to-date introduction to a market-leading platform for data analysis and machine learning</b><p><i>Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro<sup>®</sup>, 2<sup>nd</sup> ed.</i> offers an accessible and engaging introduction to machine learning. 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.<p><i>Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro<sup>®</sup>, 2<sup>nd</sup> ed.</i> readers will also find:<ul><li>Updated material which improves the books usefulness as a reference for professionals beyond the classroom</li><li>Four new chapters, covering topics including Text Mining and Responsible Data Science</li><li>An updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbook</li><li>A guide to JMP Pro<sup>®</sup>s new features and enhanced functionality</li></ul><p><i>Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro<sup>®</sup>, 2nd ed.</i> 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.

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<p><b>Galit Shmueli, PhD</b> is Distinguished Professor at National Tsing Hua Universitys 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.<p><b>Peter C. Bruce</b> is Founder of the Institute for Statistics Education at Statistics.com, and Chief Learning Officer at Elder Research, Inc.<p><b>Mia L. Stephens, M.S.</b> is an Advisory Product Manager with JMP, driving the product vision and roadmaps for JMP^® and JMP Pro^®.<p><b>Muralidhara Anandamurthy, PhD</b> is an Academic Ambassador with JMP, overseeing technical support for academic users of JMP Pro^®.<p><b>Nitin R. Patel, PhD</b> 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.

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