Maschinelles Lernen - Grundlagen und Anwendungen

Benny Botsch ()

in Springer Books from Springer

Date: 2023
ISBN: 978-3-662-67277-8
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Chapters in this book:

Ch Kapitel 1 Einführung

Benny Botsch

Ch Kapitel 2 Lineare Algebra

Benny Botsch

Ch Kapitel 3 Wahrscheinlichkeit und Statistik

Benny Botsch

Ch Kapitel 4 Optimierung

Benny Botsch

Ch Kapitel 5 Parametrische Methoden

Benny Botsch

Ch Kapitel 6 Nichtparametrische Methoden

Benny Botsch

Ch Kapitel 7 Bestärkendes Lernen

Benny Botsch

Ch Kapitel 8 Custeranalyse

Benny Botsch

Ch Kapitel 9 Anwendungen

Benny Botsch

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-662-67277-8

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DOI: 10.1007/978-3-662-67277-8

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