Can I read Machine Learning for Hackers : Case Studies and Algorithms to Get You Started on EtoBox?

Machine Learning for Hackers : Case Studies and Algorithms to Get You Started by Conway, Drew, White, John Myles is a science book available to read on EtoBox.

What is Machine Learning for Hackers : Case Studies and Algorithms to Get You Started about?

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

Who reads Machine Learning for Hackers : Case Studies and Algorithms to Get You Started?

Author

Conway, Drew, White, John Myles

Publisher

O'Reilly Media, Incorporated

Published

2012

Language

EN

ISBN

9781449330514

Category

science

Subjects

Science, Technology, Mathematics

Rating

3.8 / 5 (61 ratings)

Updated

2026-03-14