October 2018
Intermediate to advanced
172 pages
4h 6m
English
Content preview from Machine Learning with scikit-learn Quick Start Guide
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Hyperparameter optimization for the linear SVMs
In this section, you will learn how to optimize the hyperparameters for the linear support vector machines. In particular, there is one hyperparameter of interest: the inverse regularization strength.
We will explore how to optimize this hyperparameter, both graphically and algorithmically.
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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.