July 2020
Intermediate to advanced
852 pages
25h 44m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
by Aurélien Géron
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KAPITEL 5
Support Vector Machines
Eine Support Vector Machine (SVM) ist ein mächtiges und flexibles Machine-Learning-Modell, mit dem Sie sowohl lineare als auch nichtlineare Klassifikationsaufgaben, Regression und sogar die Erkennung von Ausreißern bewältigen können. Es gehört zu den beliebtesten Modellen, und deshalb sollte jeder mit etwas Interesse an Machine Learning die SVM in seinem Repertoire haben. SVMs sind besonders zur Klassifikation komplexer Datensätze kleiner oder mittlerer Größe geeignet.
In diesem Kapitel werden Grundbegriffe zu SVMs, wie man sie verwendet und ihre Funktionsweise erklärt.
Lineare Klassifikation mit SVMs
Der SVMs zugrunde liegende Gedanke lässt sich am besten anhand einiger Bilder erläutern. Abbildung 5-1 zeigt ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.