Machine Learning for Email: Spam Filtering and Priority Inbox ePub download by Drew Conway

Machine Learning for Email: Spam Filtering and Priority Inbox

O'Reilly Media
Publication date: October 2011
ISBN: 9781449320706
Digital Book format: ePub (DRM-Free)

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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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Machine Learning for Email: Spam Filtering and Priority Inbox ePub download by Drew Conway
O'Reilly Media, October 2011
ISBN: 9781449320706
EAN:  9781449320706
ePub
List Price: $14.99 eBook price: $12.99
Machine Learning for Email: Spam Filtering and Priority Inbox PDF download by Drew Conway
O'Reilly Media, October 2011
ISBN: 9781449314309
EAN:  9781449320713
PDF
List Price: $14.99 eBook price: $12.99
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