November 2023
Intermediate to advanced
576 pages
13h 30m
German
Content preview from Handbuch Data Science mit Python
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KAPITEL 43
Ausführlich: Support Vector Machines
Support Vector Machines (SVMs) sind eine besonders leistungsfähige und flexible Klasse von überwachten Algorithmen für Klassifikationen und Regressionen. In diesem Kapitel erforschen wir die Grundlagen der SVMs und ihre Anwendung auf Klassifikationsaufgaben.
Als Erstes erledigen wir wie gewohnt die üblichen Importe:
In [1]: %matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
from scipy import stats
Gründe für Support Vector Machines
Beim Erörtern der Bayes-Klassifikation (siehe Kapitel 41) haben wir ein einfaches Modell zur Beschreibung der Verteilung der zugrunde liegenden Klassen kennengelernt und damit experimentiert, um probabilistische ...
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