April 2012
Intermediate to advanced
384 pages
11h 19m
English
Content preview from Machine Learning in ActionBecome 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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Part 4. Additional tools
This fourth and final part of Machine Learning in Action covers some additional tools that are commonly used in practice and can be applied to the material from the first three parts of the book. The tools cover dimensionality-reduction techniques, which you can use to preprocess the inputs before using any of the algorithms from the first three parts of this book. This part also covers map reduce, which is a technique for distributing jobs to thousands of machines.
Dimensionality reduction is the task of reducing the number of inputs you have; this can reduce noise and improve the performance of machine learning algorithms. chapter 13 is the first chapter on dimensionality reduction; we look at principal component analysis, ...
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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.