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 6
Verkettete Algorithmen und Pipelines
Wie in Kapitel 4 besprochen, ist die Repräsentation der Daten für viele maschinelle Lernalgorithmen von entscheidender Bedeutung. Dies fängt mit dem Skalieren der Daten und dem manuellen Kombinieren von Merkmalen an und erstreckt sich bis zum Ermitteln von Merkmalen durch unüberwachtes Lernen, wie in Kapitel 3 beschrieben. Deshalb benötigen die meisten Anwendungen nicht nur einen einzelnen Algorithmus, sondern die Verkettung mehrerer Verarbeitungsschritte und maschineller Lernmodelle. In diesem Kapitel beschäftigen wir uns mit der Verwendung der Klasse Pipeline, um den Aufbau verketteter Transformationen und Modelle zu vereinfachen. Insbesondere werden wir sehen, wie wir Pipeline und GridSearchCV ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.