Automated machine learning for business [electronic resource] / Kai R. Larsen and Daniel S. Becker.

"In this book, we teach the machine learning process using a new development in data science; automated machine learning. AutoML, when implemented properly, makes machine learning accessible to most people because it removes the need for years of experience in the most arcane aspects of data science...

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Bibliographic Details
Main Authors: Larsen, Kai R. (Author)
Becker, Daniel S. (Author)
Language:English
Published: New York, NY : Oxford University Press, [2021]
Subjects:
Genre:
Online Access:
Format: Electronic eBook
Description
Summary:
"In this book, we teach the machine learning process using a new development in data science; automated machine learning. AutoML, when implemented properly, makes machine learning accessible to most people because it removes the need for years of experience in the most arcane aspects of data science, such as the math, statistics, and computer science skills required to become a top contender in traditional machine learning. Anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite investment is one semester-long undergraduate course rather than a year in a graduate program, these tools will likely become a core component of undergraduate programs, and over time, even the high-school curriculum"-- Provided by publisher.
Bibliography Note:Includes bibliographical references (pages 315-317) and index.
ISBN:9780190941673 (online)
9780190941680 (online)
9780197601495 (online)