Machine Learning for Hackers (Paperback)

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.

General

Imprint:	O'Reilly Media
Country of origin:	United States
Release date:	March 2012
First published:	February 2012
Authors:	Drew Conway
Contributors:	John Myles White
Dimensions:	233 x 178 x 19mm (L x W x T)
Format:	Paperback
Pages:	303
ISBN-13:	978-1-4493-0371-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	1-4493-0371-4
Barcode:	9781449303716

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