John Myles White's Books

Machine Learning for Email

Spam Filtering and Priority Inbox

By: Drew Conway,John Myles White

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Machine Learning for Email

Spam Filtering and Priority Inbox

By: Drew Conway,John Myles 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

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Page Count

145

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1449320708

ISBN 13

9781449320706

Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

By: Drew Conway,John Myles White

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Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

By: Drew Conway,John Myles White

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data

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Page Count

323

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1449330533

ISBN 13

9781449330538

Bandit Algorithms for Website Optimization

By: John White

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Bandit Algorithms for Website Optimization

By: John White

When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

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Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1449341330

ISBN 13

9781449341336

53rd Man

Fighting to Make It in the NFL

By: John Vampatella

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53rd Man

Fighting to Make It in the NFL

By: John Vampatella

53rd Man tells the inspiring stories of the often-overlooked players trying to make it in the NFL—the men who are essentially 53rd on rosters of 53—who give their blood, sweat, and tears in the hopes of seeing their professional football dreams come true.

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Page Count

227

Publisher

Rowman & Littlefield

Published Date

ISBN 10

1538181509

ISBN 13

9781538181508

Book's by John Myles White

Machine Learning for Email

Machine Learning for Email

Machine Learning for Hackers

Machine Learning for Hackers

Bandit Algorithms for Website Optimization

Bandit Algorithms for Website Optimization

53rd Man

53rd Man

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