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Can I read Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2e on EtoBox?
Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2e by Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy, Nitin R. Patel is a nonfiction available to read on EtoBox.
What is Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2e about?
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 Analytic
Who reads Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2e?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy, Nitin R. Patel
- Publisher
- Wiley & Sons, Incorporated, John
- Published
- 2023
- Language
- EN
- ISBN
- 9781119903857
- Category
- nonfiction
- Subjects
- Mathematics, Optimization. Operations Research, Stem
Other editions & translations
- Machine Learning for Business Analytics - Concepts , Techniques and Applications in RapidMiner (2023)
- Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2nd Edition (2023)
- Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro (2023)
- Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, Second Edition (2023)