Machine learning for business analytics : concepts, techniques, and applications with JMP Pro® / Galit Shmueli [and four others]
By: Shmueli, Galit [author.].
Contributor(s): Bruce, Peter C [author.] | Stephens, Mia L [author.] | Anandamurthy, Muralidhara [author.] | Patel, Nitin R. (Nitin Ratilal) [author.] | John Wiley & Sons [publisher.].
Material type:
BookPublisher: Hoboken, New Jersey : Wiley, [2023]Copyright date: ©2023Edition: Second edition.Description: 1 online resource (xxiv, 584 pages) : illustrations (some color) ; 26 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781119903833.Subject(s): JMP (Computer file) | Business mathematics -- Computer programs | Business -- Data processing | Data mining | Management -- Data processingDDC classification: 650.01513 Summary: "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℗ʼ 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℗ʼ, 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"-- Provided by publisher.
| Current location | Call number | Status | Notes | Date due | Item holds |
|---|---|---|---|---|---|
| University of Santo Tomas-Legazpi Main Library Circulation | Circ. HF 5691 .S56 2023 (Browse shelf) | Available | JB |
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| Circ. HF 5381 .C37 2023 Career psychology : | Circ. HF 5387 .J35 2023 Professional conduct & ethical standards / | Circ. HF 5415 .B76 2022 Marketing : | Circ. HF 5691 .S56 2023 Machine learning for business analytics : | Circ. HF 5718 .L47 2019 Corporate communication : | Circ. HF 5823 .P48 2022 Global advertising / | Circ. HM 1033 .A38 2019 Advanced social psychology : |
First edition: Data mining for business analytics (2017).
Includes bibliographical references and index.
"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℗ʼ 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℗ʼ, 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"-- Provided by publisher.
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