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Verlag: Oreilly & Associates Inc, 2011
ISBN 10: 1449314309ISBN 13: 9781449314309
Anbieter: medimops, Berlin, Deutschland
Buch
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Verlag: O'Reilly Media 2011-11-25, Beijing |Farnham, 2011
ISBN 10: 1449314309ISBN 13: 9781449314309
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: O'Reilly, 2012
ISBN 10: 1449303714ISBN 13: 9781449303716
Anbieter: medimops, Berlin, Deutschland
Buch
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Verlag: O'Reilly Media 2012-03-06, Beijing |Farnham, 2012
ISBN 10: 1449303714ISBN 13: 9781449303716
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: O'Reilly, 2012
ISBN 10: 1449303714ISBN 13: 9781449303716
Anbieter: Monster Bookshop, Fleckney, Vereinigtes Königreich
Buch
paperback. Zustand: New. BRAND NEW ** SUPER FAST SHIPPING FROM UK WAREHOUSE ** 30 DAY MONEY BACK GUARANTEE.
Verlag: OREILLY MEDIA, 2011
ISBN 10: 1449314309ISBN 13: 9781449314309
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New. This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus.Über .
Verlag: O'reilly Media Mär 2012, 2012
ISBN 10: 1449303714ISBN 13: 9781449303716
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Neuware - 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 na.
Verlag: O\'Reilly Media, 2012
ISBN 10: 1449303714ISBN 13: 9781449303716
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New. 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.If you re an experienced programmer interest.