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

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

by Galit Shmueli (Author), Peter C. Bruce (Author), Mia L. Stephens (Author), Muralidhara Anandamurthy (Author), Nitin R. Patel (Author) & 2 more
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Only 9 left in stock.
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MACHINE LEARNING FOR BUSINESS ANALYTICSAn up-to-date introduction to a market-leading platform for data analysis and machine learningMachine 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 classroomFour new chapters, covering topics including Text Mining and Responsible Data ScienceAn updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbookA guide to JMP Pro's new features and enhanced functionalityMachine 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. Read more

Product Information

PublisherWiley
Publication dateMay 9 2023
Edition2nd
LanguageEnglish
Print length608 pages
ISBN-101119903831
ISBN-13978-1119903833
Item weight1.38 kg
Dimensions18.54 x 3.56 x 25.65 cm
Best Sellers Rank#1,606,331 in Books (See Top 100 in Books) #444 in AI Computer Mathematics #603 in Data Mining #802 in Statistics Textbooks
Customer Reviews4.2 4.2 out of 5 stars 86 ratings

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