Machine Learning for Email: Spam Filtering and Priority Inbox - Couverture souple

Conway, Drew; White, John Myles

 
9781449314309: Machine Learning for Email: Spam Filtering and Priority Inbox
Couverture souple
ISBN 10 : 1449314309 ISBN 13 : 9781449314309
Editeur : O'Reilly Media, 2011

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities.

John Myles White is a Ph.D. student in the Princeton Psychology Department, where he studies how humans make decisions both theoretically and experimentally. Outside of academia, John has been heavily involved in the data science movement, which has pushed for an open source software approach to data analysis. He is also the lead maintainer for several popular R packages, including ProjectTemplate and log4r.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2011
Langue
anglais
ISBN 10 
1449314309
ISBN 13 
9781449314309
Reliure
Broché
Nombre de pages
146
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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Etats-Unis
Personne responsable
non disponible