July 2020
Intermediate to advanced
852 pages
25h 44m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
by Aurélien Géron
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd EditionBecome 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.
ANHANG C
Das duale Problem bei SVMs
Um Dualität zu verstehen, müssen Sie zunächst die Methode der Lagrange-Multiplikatoren verstehen. Der generelle Ansatz ist, die Zielgröße einer Optimierung mit Nebenbedingungen in eine Optimierung ohne Nebenbedingungen zu überführen, indem die Nebenbedingungen in die Zielfunktion verschoben werden. Betrachten wir ein einfaches Beispiel. Angenommen, Sie möchten die Werte von x und y finden, die die Funktion f(x,y) = x2 + 2y minimieren, wobei Gleichheit als Nebenbedingung vorliegt: 3x + 2y + 1 = 0. Bei den Lagrange-Multiplikatoren definieren wir zunächst eine neue Funktion, die sogenannte Lagrange-Funktion (oder Lagrangian): g(x, y, α) = f(x, y) – α(3x + 2y + 1). Jede Nebenbedingung (in diesem Fall eine) wird ...
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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.