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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Acknowledgments
This is by far the easiest part of the book to write...
First, I would like to thank the folks at Manning. Above all, I would like to thank my editor Troy Mott; if not for his support and enthusiasm, this book never would have happened. I would also like to thank Maureen Spencer who helped polish my prose in the final manuscript; she was a pleasure to work with.
Next I would like to thank Jennie Si at Arizona State University for letting me sneak into her class on discrete-time stochastic systems without registering. Also Cynthia Rudin at MIT for pointing me to the paper “Top 10 Algorithms in Data Mining,”[1] which inspired the approach I took in this book. For indirect contributions I would like to thank Mark Bauer, Jerry Barkely, ...
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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.