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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
- 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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