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Machine Learning in Action
book

Machine Learning in Action

by Peter Harrington
April 2012
Intermediate to advanced content levelIntermediate to advanced
384 pages
11h 19m
English
Manning Publications
Content preview from Machine Learning in Action

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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Publisher Resources

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