Machine Learning for Email is popular PDF and ePub book, written by Drew Conway in 2011-10-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning for Email can be Read Online from any device for your convenience.
Machine Learning for Email Book PDF Summary
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
Detail Book of Machine Learning for Email PDF
- Author : Drew Conway
- Release : 25 October 2011
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781449320706
- Genre : Computers
- Total Page : 145 pages
- Language : English
- PDF File Size : 7,8 Mb
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