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."

Machine Learning for Email: Spam Filtering and Priority Inbox

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Paperback / softback by Drew Conway

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Short Description:

This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide... Read more

    Publisher: O'Reilly Media
    Publication Date: 06/12/2011
    ISBN13: 9781449314309, 978-1449314309
    ISBN10: 1449314309

    Number of Pages: 100

    Non Fiction , Computing

    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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