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,
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Fußnoten
KAPITEL 3 Textdaten: Einebnen, Filtern und Wortgruppensuche
1Gelegentlich wird der Begriff »Dokumentenvektor« verwendet. Der Vektor zeigt vom Koordinatenursprung zu dem angegebenen Punkt. Für unsere Zwecke sind »Vektor« und »Punkt« gleichbedeutend.
1Streng genommen können Zeilen- und Spaltenraum einer nicht quadratischen Matrix nicht gleichzeitig vollen Rang haben. Der maximal mögliche Rang beider Unterräume ist der kleinere der Werte m (Zeilenzahl) und n (Spaltenzahl).
KAPITEL 5 Kategoriale Variablen: Eier zählen im Roboterzeitalter
1In der Standardliteratur zur Statistik ist Ausprägungen der technische Begriff für die Kategorien. Eine kategoriale Variable mit zwei unterschiedlichen Kategorien besitzt zwei Ausprägungen. Wir verwenden ...
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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.
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.