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Machine Learning for Email Spam Filtering and Priority Inbox

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ISBN-10: 1449314309

ISBN-13: 9781449314309

Edition: 2011

Authors: Drew Conway, John Myles White

List price: $26.99
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Description:

This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus. Of course, sometimes the items in one class are not created equally, or we want to distinguish among them in some meaningful way. The second part of the book will look at how to not only filter spam from our email, but also placing "more important" messages at the top of the queue. This is a curated excerpt from the upcoming book "Machine Learning for Hackers."
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Book details

List price: $26.99
Copyright year: 2011
Publisher: O'Reilly Media, Incorporated
Publication date: 11/6/2011
Binding: Paperback
Pages: 148
Size: 7.00" wide x 9.25" long x 0.50" tall
Weight: 0.528
Language: English

Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities.

John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.