April 2019
Intermediate to advanced
214 pages
5h 57m
German
Content preview from Merkmalskonstruktion für Machine LearningBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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ANHANG
Lineare Modellierung und Grundlagen der linearen Algebra
Übersicht der linearen Klassifikation
Wenn wir es mit einem markierten Datensatz zu tun haben, ist der Merkmalsraum mit Datenpunkten aus verschiedenen Klassen übersät. Es ist die Aufgabe des Klassifikators, die Datenpunkte aus unterschiedlichen Klassen voneinander zu trennen. Er kann das erreichen, indem er eine Ausgabe erzeugt, die sich zwischen den Datenpunkten von einer Klasse zur nächsten deutlich unterscheidet. Gibt es beispielsweise nur zwei Klassen, sollte ein guter Klassifikator für eine Klasse große Ausgabewerte erzeugen und kleine für die andere. Die Punkte, die genau auf der Grenze zwischen zwei Klassen liegen, bilden eine Trennfläche (siehe Abbildung A-1).
Abbildung ...
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