Machine learning for business analytics : concepts, techniques and applications with JMP Pro.

Machine learning for business analytics : concepts, techniques and applications with JMP Pro.

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Bibliographic Details
Author / Creator:Bruce, Peter C., 1953- author
Edition:Second edition / Peter C. Bruce, Mia 1. Stephens, Galit Shmueli, Muralidhara Anandamurthy, Nitin R. Patel.
Imprint:Hoboken : John Wiley & Sons, Inc., 2023.
Description:1 online resource
Language:English
Subject:
Business -- Data processing.
Data mining.
Machine learning.
Business -- Data processing
Data mining
Machine learning
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13710412
Hidden Bibliographic Details
Other authors / contributors:Stephens, Mia L., author.
Shmueli, Galit, 1971- author
Anandamurthy, Muralidhara, author.
Patel, Nitin R. (Nitin Ratilal), author
ISBN:9781119903857
1119903858
9781119903833
Notes:Includes bibliographical references and index.
Summary: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.
Other form:Print version: 9781119903833

MARC

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100 1 |a Bruce, Peter C.,  |d 1953-  |e author  |1 https://id.oclc.org/worldcat/entity/E39PCjKjRYw784cPyqy7C6KVBX  |0 http://id.loc.gov/authorities/names/n2006056063 
245 1 0 |a Machine learning for business analytics :  |b concepts, techniques and applications with JMP Pro. 
250 |a Second edition /  |b Peter C. Bruce, Mia 1. Stephens, Galit Shmueli, Muralidhara Anandamurthy, Nitin R. Patel. 
264 1 |a Hoboken :  |b John Wiley & Sons, Inc.,  |c 2023. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
650 0 |a Business  |x Data processing.  |0 http://id.loc.gov/authorities/subjects/sh85018264 
650 0 |a Data mining.  |0 http://id.loc.gov/authorities/subjects/sh97002073 
650 0 |a Machine learning.  |0 http://id.loc.gov/authorities/subjects/sh85079324 
650 6 |a Gestion  |x Informatique. 
650 6 |a Exploration de données (Informatique) 
650 6 |a Apprentissage automatique. 
650 7 |a Business  |x Data processing  |2 fast 
650 7 |a Data mining  |2 fast 
650 7 |a Machine learning  |2 fast 
700 1 |a Stephens, Mia L.,  |e author. 
700 1 |a Shmueli, Galit,  |d 1971-  |e author  |1 https://id.oclc.org/worldcat/entity/E39PBJgmKrF6yhWBmTPkmRw6Kd  |0 http://id.loc.gov/authorities/names/n2006056061 
700 1 |a Anandamurthy, Muralidhara,  |e author. 
700 1 |a Patel, Nitin R.  |q (Nitin Ratilal),  |e author  |1 https://id.oclc.org/worldcat/entity/E39PCjwfwxkVkqYywxC7kbfd6X  |0 http://id.loc.gov/authorities/names/no94000526 
776 0 8 |i Print version:  |z 9781119903833 
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928 |t Library of Congress classification  |a HF5548.2  |l Online  |c UC-FullText  |u https://go.oreilly.com/uchicago/library/view/-/9781119903833/?ar  |z O'Reilly  |g ebooks  |i 13853352 

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