November 2023
Intermediate to advanced
576 pages
13h 30m
German
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KAPITEL 40
Feature Engineering
Die vorangehenden Kapitel gaben einen Überblick über die grundlegenden Konzepte des Machine Learning, allerdings setzten alle Beispiele voraus, dass die numerischen Daten in einem schön aufgeräumten [n_samples, n_features]-Format vorliegen. In der Realität ist das jedoch nur selten der Fall. Angesichts dieser Tatsache gehört das Feature Engineering (»Merkmalserstellung«) zu den wichtigeren Schritten beim praktischen Einsatz des Machine Learning. Welche Informationen über eine Aufgabe verfügbar sind, spielt keine Rolle: Sie müssen in Zahlen umgewandelt werden, damit eine Feature-Matrix erstellt werden kann.
In diesem Kapitel werden wir einige Beispiele für typische Aufgaben erörtern, die beim Feature Engineering ...
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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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