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Machine Learning for Email

Spam Filtering and Priority Inbox

Drew Conway & John Myles White

This book is available for download with iBooks on your Mac or iOS device, and with iTunes on your computer. Books can be read with iBooks on your Mac or iOS device.

Description

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

Machine Learning for Email
View In iTunes
  • $14.99
  • Available on iPhone, iPad, iPod touch, and Mac.
  • Category: Programming
  • Published: Oct 25, 2011
  • Publisher: O'Reilly Media
  • Seller: O'Reilly Media, Inc. (Books)
  • Print Length: 12 Pages
  • Language: English
  • Requirements: To view this book, you must have an iOS device with iBooks 1.2 or later and iOS 4.2 or later, or a Mac with iBooks 1.0 or later and OS X 10.9 or later.

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