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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KAPITEL 1
Die Machine-Learning-Pipeline
Bevor wir uns mit Merkmalskonstruktion beschäftigen, wollen wir uns die Machine-Learning-Pipeline als Ganzes anschauen, um unseren Platz im Gesamtsystem zu finden. Zu diesem Zweck betrachten wir zunächst Grundbegriffe wie Daten und Modelle.
Daten
Als Daten bezeichnen wir Beobachtungen realer Phänomene. So können Daten von Aktienmärkten Beobachtungen der täglichen Aktienpreise, Gewinnankündigungen einzelner Firmen und sogar Meinungsartikel von Fachleuten umfassen. Persönliche biometrische Daten wären unter anderem minütliche Messungen von Pulsfrequenz, Blutzuckerspiegel, Blutdruck usw., und Daten zur Kundenanalyse sind beispielsweise Aussagen wie »Alice hat am Sonntag zwei Bücher gekauft«, »Bob hat diese ...
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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.