This book 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.
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Kai R. Larsen is an Associate Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, University of Colorado Boulder. He is a courtesy faculty member in the Department of Information Science of the College of Media, Communication and Information, a Research Advisor to Gallup, and a Fellow of the Institute of Behavioral Science.
Daniel S. Becker is a Data Scientist for Google's Kaggle division and founder of Kaggle Learn and Decision.ai.
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book 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. Artikel-Nr. 9780190941659
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