Drew Conway
Machine Learning for Hackers
- ISBN 13:
- 9781449303716
- author:
- Drew Conway
- format:
- Paperback
- publisher:
- OReilly Media
- language:
- English
- Publication Year:
- 2012
- Pages:
- 324
- Dimensions:
- 7.00 (w) x 9.10 (h) x 0.80 (d)
- Genre:
- Machine Learning, Data Warehousing & Mining
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Learn to apply machine learning algorithms to real-world problems with this practical guide. Machine Learning for Hackers introduces you to the toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Through hands-on case studies and examples, authors Drew Conway and John Myles White help you understand machine learning and statistics tools using the R programming language. You'll learn how to analyze sample datasets and write simple machine learning algorithms to solve problems such as email spam detection, website page view prediction, and data analysis of voting records.
This book is ideal for programmers from any background who want to develop their skills in machine learning and statistics. With a focus on practical examples and real-world applications, Machine Learning for Hackers provides a solid foundation for anyone looking to get started with machine learning.
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