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Machine Learning for Hackers
Drew Conway
€ 52.99
€ 37.55
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Description for 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. Num Pages: 322 pages, Illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 178 x 233 x 18. Weight in Grams: 560.
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 ... Read more
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 ... Read more
Product Details
Publisher
O´Reilly Media United States
Number of pages
322
Format
Paperback
Publication date
2012
Condition
New
Number of Pages
300
Place of Publication
Sebastopol, United States
ISBN
9781449303716
SKU
V9781449303716
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3
About Drew Conway
Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities. John Myles ... Read more
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