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Machine Learning for Email

Couverture du livre « Machine Learning for Email » de Andrew Conway aux éditions O Reilly
Résumé:

If you´re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You´ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White... Voir plus

If you´re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You´ll 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. You´ll 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 files Analyze the data and use the results to write a Bayesian spam classifier Rank email by importance, using factors such as thread activity Use your email ranking analysis to write a priority inbox program Test your classifier and priority inbox with a separate email sample set

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