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Paperback. Condition: Very Good. No jacket. O'Reilly, 2019, 2nd edition. Paperback, 8vo, xvii,384pp. A good copy. 9781492041139/0.7us.
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ISBN 10: 1492041130 ISBN 13: 9781492041139
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Add to basketpaperback. Condition: Very Good. 2nd Edition. O'Reilly Media, 2019 (Second Edition). Clean, unmarked interior. Softcover, clean & bright, light edge, corner, shelf wear. No rips, chips, stains or tears. B&W Photos / Illustrations. Binding solid, square. Ships quickly and with care. Data Science from Scratch: First Principles with Python by Joel Grus offers a practical introduction to data science, teaching readers how to implement tools and algorithms from scratch using Python 3.6, with insights into deep learning, statistics, natural language processing, and machine learning models.
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Published by O'Reilly Media, Incorporated, 2015
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ISBN 10: 1492041130 ISBN 13: 9781492041139
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Add to basketCondition: New. With this updated second edition, you ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.Über den AutorrnrnJoel Grus is a research engineer at the Allen Institute f.
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Published by O'reilly Media Jun 2019, 2019
ISBN 10: 1492041130 ISBN 13: 9781492041139
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Add to basketTaschenbuch. Condition: Neu. Neuware - To really learn data science, you should not only master the toolsdata science libraries, frameworks, modules, and toolkitsbut also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
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Published by O'Reilly Media, Incorporated, 2019
ISBN 10: 1492041130 ISBN 13: 9781492041139
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