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
See more like this in our Computers eBooks section
Share your thoughts on the Machine Learning for Hackers Computers eBook with others!
|Title of Computers eBook: Machine Learning for Hackers|
|Release Date: 02-13-2012|
|Publisher: O'Reilly Media|
This eBook download is available in the following formats:
|Parent title||Machine Learning...|
|Devices||Samsung Tablet, Apple Ipad & Iphone, Barnes & Noble Nook, Kobo eReader, Aluratek Libre, Iliad, Nokia, Blackberry, Hanlin|
|Note||ePub, short for electronic publication is one of our favorites and should be yours for a couple of reasons. ePub offers reflowable text giving you flexibility to manipulate how the content is presented. Moreover, lots of cool features are now being developed for the reader like advanced video and audio. ePub is now an industry standard, so all of the "non-propreitary" hardware manufacturers are now supporting it.|