Description: Machine Learning for Business Analytics : Concepts, Techniques and Applications With Jmp Pro, Hardcover by Shmueli, Galit; Bruce, Peter C.; Stephens, Mia L.; A., Muralidhara; Patel, Nitin R., ISBN 1119903831, ISBN-13 9781119903833, Like New Used, Free shipping in the US An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an increasingly powerful business tool, driving ever more refined data analysis and decision-making. In recent years, JMP Pro® has emerged as one of the most effective and widely-used commercial analysis and data mining tools on the market, using machine learning to produce automated solutions to a range of data analysis needs. Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro®, 2nd ed. offers an accessible and engaging introduction to machine learning using this market-leading software. 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 th’s usefulness as a reference for professionals beyond the classroom Four new chapters, covering topics including Text Mining and Responsible Data Science 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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Book Title: Machine Learning for Business Analytics : Concepts, Techniques an
Number of Pages: 608 Pages
Language: English
Publication Name: Machine Learning for Business Analytics : concepts, Techniques and Applications with Jmp Pro
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2023
Subject: Probability & Statistics / General, Databases / Data Mining
Item Height: 1.4 in
Item Weight: 47.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Nitin R. Patel, Peter C. Bruce, Mia L. Stephens, Muralidhara Anandamurthy, Galit Shmueli
Item Length: 10.1 in
Item Width: 7.3 in
Format: Hardcover
