Verfügbarkeit: Machine learning

Machine learning: theory and practice

This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on cl...

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1. Verfasser:	Kalita, Jugal Kumar (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Boca Raton ; London ; New York CRC Press 2023
Ausgabe:	First edition
Schlagworte:	Maschinelles Lernen
Online-Zugang:	DE-573 DE-863 DE-862 DE-91 Volltext
Zusammenfassung:	This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on clustering
Beschreibung:	1 Online-Ressource (xv, 282 Seiten) Illustrationen, Diagramme
ISBN:	9781003002611 9781000818253
DOI:	10.1201/9781003002611

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Datensatz im Suchindex

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isbn	9781003002611 9781000818253
language	English
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spellingShingle	Kalita, Jugal Kumar Machine learning theory and practice Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4193754-5
title	Machine learning theory and practice
title_auth	Machine learning theory and practice
title_exact_search	Machine learning theory and practice
title_exact_search_txtP	Machine learning theory and practice
title_full	Machine learning theory and practice Jugal Kalita
title_fullStr	Machine learning theory and practice Jugal Kalita
title_full_unstemmed	Machine learning theory and practice Jugal Kalita
title_short	Machine learning
title_sort	machine learning theory and practice
title_sub	theory and practice
topic	Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Maschinelles Lernen
url	https://doi.org/10.1201/9781003002611
work_keys_str_mv	AT kalitajugalkumar machinelearningtheoryandpractice

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