Machine Learning for Hackers: Case Studies and Algorithms to Get You Started - Softcover

Conway, Drew; White, John Myles

Softcover

ISBN 10: 1449303714 ISBN 13: 9781449303716

Publisher: O'Reilly Media, 2012

Synopsis

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

About this title

Product Description

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine learning and statistics tools in a practical fashion, using black-box solutions and case studies instead of a traditional math-heavy presentation. By exploring each problem in this book in depth - including both viable and hopeless approaches - you'll learn to recognize when your situation closely matches traditional problems., Then you'll discover how to apply classical statistics tools to your problem. Machine Learning for Hackers is ideal for programmers from private, public, and academic sectors.

Book Description

Case Studies and Algorithms to Get You Started

Edition details

• Publisher: O'Reilly Media
• Publication date: 2012
• ISBN 10: 1449303714
• ISBN 13: 9781449303716
• Binding: Paperback
• Language: English
• Number of pages: 320