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Machine Learning For Business Analytics eBook

Concepts, Techniques And Applications With Jmp Pro

by Galit Shmueli, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens e Peter C. Bruce
language: english
Publisher: WILEY, May of 2023 ‧
143,03€
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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.

Machine Learning For Business Analytics

Concepts, Techniques And Applications With Jmp Pro

by Galit Shmueli, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens e Peter C. Bruce

Property Description
ISBN: 9781119903857
Publisher: WILEY
Release Date: May of 2023
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Science > Mathematics
EAN: 9781119903857
Acessibilidade: Ver características de acessibilidade indicadas pelo editor