25,99 €
Machine Learning for Email
Machine Learning for Email
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Machine Learning for Email
Machine Learning for Email
El. knyga:
25,99 €
If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. Youll 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 ma…
  • Leidėjas:
  • Metai: 2011
  • Puslapiai: 148
  • ISBN: 9781449320713
  • ISBN-10: 1449320716
  • ISBN-13: 9781449320713
  • Formatas: ACSM ?
  • Kalba: Anglų

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If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. Youll 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. Youll 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 filesAnalyze the data and use the results to write a Bayesian spam classifierRank email by importance, using factors such as thread activityUse your email ranking analysis to write a priority inbox programTest your classifier and priority inbox with a separate email sample set

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  • Autorius: Drew Conway
  • Leidėjas:
  • Metai: 2011
  • Puslapiai: 148
  • ISBN: 9781449320713
  • ISBN-10: 1449320716
  • ISBN-13: 9781449320713
  • Formatas: ACSM ?
  • Kalba: Anglų

If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. Youll 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. Youll 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 filesAnalyze the data and use the results to write a Bayesian spam classifierRank email by importance, using factors such as thread activityUse your email ranking analysis to write a priority inbox programTest your classifier and priority inbox with a separate email sample set

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