Machine Learning for Email: Spam Filtering and Priority Inbox

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Should you’re an skilled programmer prepared to crunch data, this concise information will present you easy methods to use machine studying to work with e-mail. You’ll discover ways to write algorithms that mechanically type and redirect e-mail based mostly on statistical patterns. Authors Drew Conway and John Myles White strategy the method in a sensible trend, utilizing a case-research pushed strategy moderately than a standard math-heavy presentation.

This book additionally features a short tutorial on utilizing the favored R language to control and analyze data. You’ll get clear examples for analyzing pattern data and writing machine studying packages with R.Mine e mail content material with R features, utilizing a set of pattern filesAnalyze the data and use the outcomes to write down a Bayesian spam classifierRank e-mail by significance, utilizing elements akin to thread activityUse your e mail rating evaluation to write down a precedence inbox programTest your classifier and precedence inbox with a separate e-mail pattern set

Product Details

  • File Size: 7242 KB
  • Print Length: 148 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O’Reilly Media; 1 edition (October 25, 2011)
  • Publication Date: October 25, 2011
  • Sold by:  Amazon Digital Services LLC
  • Language: English
  • ASIN: B005ZTO0GG
  • Text-to-Speech: Enabled
  • X-Ray: Not Enabled
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Enabled
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