The shape of data: network science, geometry-based machine learning, and topological data analysis in R

"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data"--

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Bibliographic Details
Main Authors: Farrelly, Colleen (Author), Gaba, Yaé Ulrich (Author)
Format: Book
Language:English
Published: San Francisco, CA No Starch Press [2023]
Subjects:
Summary:"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data"--
Item Description:Includes bibliographical references. - Description based on print version record and CIP data provided by publisher; resource not viewed
Physical Description:xxiii, 233 Seiten Illustrationen, Diagramme
ISBN:9781718503083

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