9781119903833-1119903831-Machine Learning for Business Analytics: Concepts, Techniques and Applications With JMP Pro

Machine Learning for Business Analytics: Concepts, Techniques and Applications With JMP Pro

ISBN-13: 9781119903833
ISBN-10: 1119903831
Edition: 2
Author: Galit Shmueli, Nitin R. Patel, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy
Publication date: 2023
Publisher: John Wiley & Sons Inc
Format: Hardcover 584 pages
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ISBN-13: 9781119903833
ISBN-10: 1119903831
Edition: 2
Author: Galit Shmueli, Nitin R. Patel, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy
Publication date: 2023
Publisher: John Wiley & Sons Inc
Format: Hardcover 584 pages

Summary

Machine Learning for Business Analytics: Concepts, Techniques and Applications With JMP Pro (ISBN-13: 9781119903833 and ISBN-10: 1119903831), written by authors Galit Shmueli, Nitin R. Patel, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy, was published by John Wiley & Sons Inc in 2023. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Machine Learning for Business Analytics: Concepts, Techniques and Applications With JMP Pro (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $21.38.

Description

MACHINE LEARNING FOR BUSINESS ANALYTICS
An up-to-date introduction to a market-leading platform for data analysis and machine learning
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd ed. 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.
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd 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 An updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbook A guide to JMP Pro®’s new features and enhanced functionality
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro®, 2nd 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.

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