Maschinelles Lernen

Ethem Alpaydin

Book

Maschinelles Lernen

Ethem Alpaydin

Language: German

Published/Copyright: 2022

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This book is in the series

De Gruyter Studium

About this book

Machine learning means artificially generating knowledge from experience. This book discusses methods from the fields of statistics and pattern recognition, and combines various approaches to find efficient solutions. This edition contains a new chapter about deep learning and provides additional information about multilayer perceptrons and reinforcement learning. There is also a new section on generative adversarial networks.

Das Standardwerk über maschinelles Lernen
Die neue Auflage mit neuen Sektionen über Deep Learning, mehrlagige Perzeptoren und Generative Adversarial Networks
Mit neuen Appendizen über die Lineare Algebra und Optimisierung.

Author / Editor information

Ethem Alpaydin, Özyegin University of Istanbul, Istanbul, Turkey.

Topics

Frontmatter Publicly Available Download PDF	I
Inhaltsverzeichnis Publicly Available Download PDF	V
Vorwort Publicly Available Download PDF	XV
Notationen Publicly Available Download PDF	XIX
1 Einführung Requires Authentication Unlicensed Licensed	1
2 Überwachtes Lernen Requires Authentication Unlicensed Licensed	25
3 Bayessche Entscheidungstheorie Requires Authentication Unlicensed Licensed	53
4 Parametrische Methoden Requires Authentication Unlicensed Licensed	71
5 Multivariate Methoden Requires Authentication Unlicensed Licensed	101
6 Dimensionalitätsreduktion Requires Authentication Unlicensed Licensed	125
7 Clusteranalyse Requires Authentication Unlicensed Licensed	173
8 Nichtparametrische Methoden Requires Authentication Unlicensed Licensed	199
9 Entscheidungsbäume Requires Authentication Unlicensed Licensed	227
10 Lineare Diskriminanz Requires Authentication Unlicensed Licensed	255
11 Mehrlagige Perzeptronen Requires Authentication Unlicensed Licensed	285
12 Tiefes Lernen Requires Authentication Unlicensed Licensed	327
13 Lokale Modelle Requires Authentication Unlicensed Licensed	375
14 Kernel-Maschinen Requires Authentication Unlicensed Licensed	409
15 Graphenmodelle Requires Authentication Unlicensed Licensed	447
16 Hidden-Markov-Modelle Requires Authentication Unlicensed Licensed	479
17 Bayessche Schätzung Requires Authentication Unlicensed Licensed	507
18 Kombination mehrerer Lerner Requires Authentication Unlicensed Licensed	551
19 Bestärkendes Lernen Requires Authentication Unlicensed Licensed	581
20 Experimente mit maschinellem Lernen Requires Authentication Unlicensed Licensed	617
A Wahrscheinlichkeit Requires Authentication Unlicensed Licensed	663
B Lineare Algebra Requires Authentication Unlicensed Licensed	675
C Optimierung Requires Authentication Unlicensed Licensed	685
Index Requires Authentication Unlicensed Licensed	693

Publishing information

Pages and Images/Illustrations in book

eBook published on:

January 19, 2022

eBook ISBN:

9783110740196

Paperback published on:

January 31, 2022

Paperback ISBN:

9783110740141

Edition:

3., aktualisierte und erweiterte Auflage

Pages and Images/Illustrations in book

Front matter:

20

Main content:

702

Illustrations:

185

Tables:

9

https://doi.org/10.1515/9783110740196

eBook ISBN: 9783110740196

Paperback ISBN: 9783110740141

Keywords for this book

Machine learning; artificial intelligence; deep learning; neuronal networks

Audience(s) for this book

Bachelor's and master's students, practicing computer scientists and engineers

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Maschinelles Lernen

Overview

About this book

Author / Editor information

Topics

Table of contents

Bibliographic data