Description: Further DetailsTitle: Machine Learning for EmailCondition: NewISBN-10: 1449314309EAN: 9781449314309ISBN: 9781449314309Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 12/06/2011Description: 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."Language: EnglishCountry/Region of Manufacture: USAuthor: Drew ConwayGenre: Computing & InternetSubtitle: Spam Filtering and Priority InboxRelease Year: 2011 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Machine Learning for Email
Title: Machine Learning for Email
ISBN-10: 1449314309
EAN: 9781449314309
ISBN: 9781449314309
Release Date: 12/06/2011
Release Year: 2011
Country/Region of Manufacture: US
Genre: Computing & Internet
Subtitle: Spam Filtering and Priority Inbox
Number of Pages: 142 Pages
Publication Name: Machine Learning for Email : Spam Filtering and Priority Inbox
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2011
Subject: Programming / Algorithms, System Administration / Email Administration, General, Data Processing
Item Height: 0.3 in
Type: Textbook
Item Weight: 9.2 Oz
Item Length: 9.2 in
Subject Area: Computers
Author: John Myles White, Drew Conway
Item Width: 7 in
Format: Trade Paperback
