August 2023
Intermediate to advanced
878 pages
26h 46m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 3rd Edition
by Aurélien Géron
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 3rd 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.
KAPITEL 5
Support Vector Machines
Eine Support Vector Machine (SVM) ist ein mächtiges und flexibles Machine-Learning-Modell, mit dem Sie sowohl lineare als auch nichtlineare Klassifikationsaufgaben, Regression und sogar die Erkennung von Novelties bewältigen können. SVMs glänzen vor allem bei kleinen bis mittelgroßen nichtlinearen Datensätzen (zum Beispiel Hunderten bis Tausenden von Instanzen), insbesondere bei der Klassifikation. Sie skalieren allerdings nicht sehr gut bei sehr großen Datensätzen, wie Sie noch sehen werden.
In diesem Kapitel werden Grundbegriffe zu SVMs, ihre Funktionsweise und wie man sie verwendet erklärt. Legen wir gleich los.
Lineare Klassifikation mit SVMs
Der SVMs zugrunde liegende Gedanke lässt sich am besten anhand ...
Become 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,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.