Machine Learning for Email

• Date de parution : 25/10/2011
• Editeur : O Reilly
• EAN : 9781449314293
• Série : (-)
• Support : Livre numérique

• Nombre de pages : (-)
• Collection : (-)
• Genre : Anglais
• Thème : Informatique / Internet en langue anglaise
• Prix littéraire(s) : (-)

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