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,
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.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.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.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.
KAPITEL 2
Tricksereien mit einfachen Zahlen
Bevor wir in die Welt komplexer Datentypen wie Text und Bilder eintauchen, wollen wir mit dem Einfachsten beginnen: mit numerischen Daten. Diese können aus vielfältigen Quellen stammen: geografische Orte eines Gebäudes oder einer Person, Einkaufspreise, Messungen eines Sensors, Verkehrszählungen usw. Numerische Daten liegen bereits in einer Form vor, die sich leicht in mathematische Modelle einspeisen lässt. Das macht die Merkmalskonstruktion jedoch keineswegs überflüssig: Gute Merkmale sollten nicht nur aussagekräftige Aspekte der Daten wiedergeben, sondern auch zu den Annahmen des Modells passen. Daher sind oftmals noch Transformationen notwendig. Numerische Verfahren der Merkmalskonstruktion sind ...
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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.