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Machine Learning for Email

Spam Filtering and Priority Inbox

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers O'Reilly Media, October 2011
If youre an experienced programmer willing to crunch data, this concise guide will show you how to u... Full description
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If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. Youll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation.This book also includes a short tutorial on using the popular R language to manipulate and analyze data. Youll get clear examples for analyzing sample data and writing machine learning programs with R.Mine email content with R functions, using a collection of sample filesAnalyze the data and use the results to write a Bayesian spam classifierRank email by importance, using factors such as thread activityUse your email ranking analysis to write a priority inbox programTest your classifier and priority inbox with a separate email sample set

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About the book

Full name Machine Learning for Email
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2011
Number of pages 148
EAN 9781449320706
Libristo code 40210035
Publishers O'Reilly Media
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