Machine Learning Methods

Lieferzeit: Lieferbar innerhalb 14 Tagen

96,29 

ISBN: 981993916X
ISBN 13: 9789819939169
Autor: Li, Hang
Verlag: Springer Verlag GmbH
Umfang: xv, 532 S., 104 s/w Illustr., 5 farbige Illustr., 532 p. 109 illus., 5 illus. in color.
Erscheinungsdatum: 06.12.2023
Auflage: 1/2024
Produktform: Gebunden/Hardback
Einband: Gebunden
Originaltitel: 2

Provides introduction to principle machine learning methods, covering both supervised and unsupervised learning methodsPresents clear descriptions, detailed proofs, and concrete examples using concise languageWritten by a leading expert on machine learning and natural language processing

Artikelnummer: 9495145 Kategorie:

Beschreibung

Autorenporträt

Hang Li is Head of Research, Bytedance Technology. He is an ACM Fellow, an ACL Fellow, and an IEEE Fellow. His research areas include natural language processing, information retrieval, machine learning, and data mining. Hang graduated from Kyoto University in 1988 and earned his PhD from the University of Tokyo in 1998. He worked at NEC Research as researcher from 1990 to 2001, Microsoft Research Asia as senior researcher and research manager from 2001 to 2012, and chief scientist and director of Huawei Noahs Ark Lab from 2012 to 2017. He joined Bytedance in 2017. Hang has published four technical books, and more than 140 technical papers at top international conferences.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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