July 2017
Intermediate to advanced
378 pages
10h 44m
German
Content preview from Einführung in Machine Learning mit PythonBecome 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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KAPITEL 4
Repräsentation von Daten und Merkmalsgenerierung
Bisher sind wir davon ausgegangen, dass unsere Daten als zweidimensionale Arrays von Fließkommazahlen vorliegen, wobei jede Spalte ein kontinuierliches Merkmal beschreibt. Bei vielen Anwendungen werden Daten aber nicht auf diese Weise gesammelt. Kategorische Merkmale kommen besonders häufig vor. Diese auch diskrete Merkmale genannten Eigenschaften sind für gewöhnlich keine Zahlen. Der Unterschied zwischen kategorischen und kontinuierlichen Merkmalen ist analog zum Unterschied zwischen Klassifikation und Regression, nur aufseiten der Eingabedaten und nicht bei der Ausgabe. Bereits betrachtete Beispiele für kontinuierliche Merkmale sind die Helligkeit von Pixeln und Messungen der Größe ...
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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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