Machine learning for business analytics: concepts, techniques and applications with JMP Pro
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®, 2 nd ed. offers an accessible and engaging introduction to machine lea...
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| Beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken
John Wiley & Sons, Inc.
2023
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| Ausgabe: | Second edition / |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119903833/?ar |
| Zusammenfassung: | 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®, 2 nd 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®, 2 nd 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. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119903857 1119903858 9781119903833 |
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| spelling | Bruce, Peter C. 1953- VerfasserIn aut Machine learning for business analytics concepts, techniques and applications with JMP Pro Second edition / Hoboken John Wiley & Sons, Inc. 2023 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index 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®, 2 nd 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®, 2 nd 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. Business Data processing Data mining Machine learning Gestion ; Informatique Exploration de données (Informatique) Apprentissage automatique Business ; Data processing Stephens, Mia L. VerfasserIn aut Shmueli, Galit 1971- VerfasserIn aut Anandamurthy, Muralidhara VerfasserIn aut Patel, Nitin R. VerfasserIn aut 9781119903833 Erscheint auch als Druck-Ausgabe 9781119903833 |
| spellingShingle | Bruce, Peter C. 1953- Stephens, Mia L. Shmueli, Galit 1971- Anandamurthy, Muralidhara Patel, Nitin R. Machine learning for business analytics concepts, techniques and applications with JMP Pro Business Data processing Data mining Machine learning Gestion ; Informatique Exploration de données (Informatique) Apprentissage automatique Business ; Data processing |
| title | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_auth | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_exact_search | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_full | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_fullStr | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_full_unstemmed | Machine learning for business analytics concepts, techniques and applications with JMP Pro |
| title_short | Machine learning for business analytics |
| title_sort | machine learning for business analytics concepts techniques and applications with jmp pro |
| title_sub | concepts, techniques and applications with JMP Pro |
| topic | Business Data processing Data mining Machine learning Gestion ; Informatique Exploration de données (Informatique) Apprentissage automatique Business ; Data processing |
| topic_facet | Business Data processing Data mining Machine learning Gestion ; Informatique Exploration de données (Informatique) Apprentissage automatique Business ; Data processing |
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