Personalized machine learning:

"Machine learning encompasses a broad range of problems ranging from detecting objects in images, finding documents relevant to a given query, or predicting the next element in a sequence, among countless others. Traditional approaches to these problems operate by collecting large, labeled data...

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Bibliographic Details
Main Author: McAuley, Julian ca. 20./21. Jh (Author)
Format: Book
Language:English
Published: Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore Cambridge University Press 2022
Edition:First published
Subjects:
Online Access:Inhaltsverzeichnis
Summary:"Machine learning encompasses a broad range of problems ranging from detecting objects in images, finding documents relevant to a given query, or predicting the next element in a sequence, among countless others. Traditional approaches to these problems operate by collecting large, labeled datasets for training, uncovering informative features, and mining complex patterns that explain the association between features and labels. Typically, labels are regarded as an underlying 'truth' that should be predicted as accurately as possible"--
Item Description:Literaturverzeichnis: Seite 306-321
Includes bibliographical references and index
Physical Description:x, 326 Seiten Illustrationen, Diagramme
ISBN:9781316518908

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