Machine Learning for Business Analytics

Machine Learning for Business Analytics

EnglishHardback
Shmueli, Galit
John Wiley & Sons Inc
EAN: 9781119903833
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Detailed information

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.

EAN 9781119903833
ISBN 1119903831
Binding Hardback
Publisher John Wiley & Sons Inc
Publication date April 17, 2023
Pages 608
Language English
Dimensions 257 x 185 x 36
Country United States
Readership Professional & Scholarly
Authors Anandamurthy, Muralidhara; Bruce Peter C.; Patel Nitin R.; Shmueli, Galit; Stephens Mia L.
Edition 2 ed
Manufacturer information
The manufacturer's contact information is currently not available online, we are working intensively on the axle. If you need information, write us on [email protected], we will be happy to provide it.