November 2021
Intermediate to advanced
432 pages
13h 22m
German
Content preview from Design Patterns 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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KAPITEL 2
Entwurfsmuster für die Datendarstellung
Das Herzstück eines jeden Modells für maschinelles Lernen ist eine mathematische Funktion, die so definiert ist, dass sie nur auf bestimmten Datentypen arbeitet. Gleichzeitig müssen reale ML-Modelle auf Daten operieren, die sich nicht direkt an die mathematische Funktion übergeben lassen. Zum Beispiel arbeitet der mathematische Kern eines Entscheidungsbaums mit booleschen Variablen. Wir sprechen hier über den mathematischen Kern eines Entscheidungsbaums – Software für maschinelles Lernen mit Entscheidungsbäumen umfasst in der Regel Funktionen, die einen optimalen Baum aus den Daten lernen, und Methoden, um verschiedene Typen von numerischen und kategorialen Daten einzulesen und zu verarbeiten. ...
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