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Drew Conway Machine Learning for Hackers (Paperback) (UK IMPORT)

Description: Further DetailsTitle: Machine Learning for HackersCondition: NewISBN-10: 1449303714EAN: 9781449303716ISBN: 9781449303716Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 03/20/2012Description: 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.Language: EnglishCountry/Region of Manufacture: USAuthor: Drew ConwayGenre: Computing & InternetRelease Year: 2012 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

Price: 55.38 USD

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End Time: 2024-11-13T23:00:19.000Z

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Drew Conway Machine Learning for Hackers (Paperback) (UK IMPORT)

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Book Title: Machine Learning for Hackers

Title: Machine Learning for Hackers

ISBN-10: 1449303714

EAN: 9781449303716

ISBN: 9781449303716

Release Date: 03/20/2012

Release Year: 2012

Country/Region of Manufacture: US

Genre: Computing & Internet

Number of Pages: 320 Pages

Language: English

Publication Name: Machine Learning for Hackers : Case Studies and Algorithms to Get You Started

Publisher: O'reilly Media, Incorporated

Subject: Programming / Algorithms, Machine Theory, Natural Language Processing

Item Height: 0.7 in

Publication Year: 2012

Item Weight: 20.2 Oz

Type: Textbook

Author: John Myles White, Drew Conway

Item Length: 9.1 in

Subject Area: Computers

Item Width: 7 in

Format: Trade Paperback

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