November 2023
Intermediate to advanced
576 pages
13h 30m
German
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KAPITEL 41
Ausführlich: Naive Bayes-Klassifikation
Die letzten vier Kapitel haben einen allgemeinen Überblick über die Konzepte des Machine Learning gegeben. Im weiteren Verlauf von Teil V werden wir uns zunächst eingehender mit vier Algorithmen für überwachtes Lernen und dann mit vier Algorithmen für unüberwachtes Lernen befassen. Wir beginnen mit der ersten überwachten Methode, der naiven Bayes-Klassifikation.
Bei naiven Bayes-Modellen handelt es sich um extrem schnelle und einfache Klassifikationsalgorithmen, die oft gut für hochdimensionale Datenmengen geeignet sind. Weil sie so zügig arbeiten und nur wenige freie Parameter besitzen, sind sie nützlich, um Klassifikationsaufgaben schnell und grob zu erledigen. Dieses Kapitel konzentriert sich ...
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