Automated machine learning for business / Kai R. Larsen and Daniel S. Becker.

By: Larsen, Kai R [author.]Contributor(s): Becker, Daniel S [author.] | Oxford scholarship - EBAMaterial type: TextTextSeries: Oxford scholarship onlinePublisher: New York, NY : Oxford University Press, 2021Description: 1 online resource (348 pages) : illustrations (black and white, and colour)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9780197601495 (ebook) :Subject(s): Business planning -- Data processing | Business planning -- Statistical methods | Machine learning -- Industrial applications | Decision making -- Statistical methodsAdditional physical formats: Print version :: No titleDDC classification: 658.4030285631 LOC classification: HD30.28 .L3733 2021Online resources: e-book Full-text access Summary: This work teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machine learning.
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E-Books MEF eKitap Kütüphanesi
Oxford Scholarship Online eBook - EBA 1 Available

Also issued in print: 2021.

Includes bibliographical references and index.

This work teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machine learning.

Specialized.

Description based on online resource; title from home page (viewed on June 16, 2021).