Machine learning for email 1st Edition by Drew Conway, John White – Ebook PDF Instant Download/Delivery: 1449320716, 9781449320713
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Product details:
ISBN 10: 1449320716
ISBN 13: 9781449320713
Author: Drew Conway, John White
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
Table of contents:
Preface
Machine Learning for Hackers: Email
How This Book is Organized
Conventions Used in This Book
Using Code Examples
Safari® Books Online
How to Contact Us
Chapter 1: Using R
Chapter 2: Data Exploration
Chapter 3: Classification: Spam Filtering
Chapter 4: Ranking: Priority Inbox
Works Cited
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Tags: Drew Conway, John White, Machine, Learning, Email


