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ISBN 10: 1449369413 ISBN 13: 9781449369415
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Published by O'Reilly Media 2016-11-15, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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paperback. Condition: VERY GOOD. Very Good. Unmarked. Clean, unmarked interior. book, clean & bright, some edge corner and shelf wear. No rips, chips, stains or tears. Binding solid. 2017 Edition (4th release 2018). hips from USA, quickly and with care. Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. MÌ_ller and Sarah Guido provides practical guidance on implementing machine learning solutions using Python and the scikit-learn library, focusing on real-world applications over theoretical concepts. 23.
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ISBN 10: 1449369413 ISBN 13: 9781449369415
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ISBN 10: 1449369413 ISBN 13: 9781449369415
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ISBN 10: 1449369413 ISBN 13: 9781449369415
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Add to basketCondition: New. Many Python developers are curious about what machine learning is and how it can be concretely applied to solve issues faced in businesses handling medium to large amount of data. Machine Learning with Python teaches you the basics of machine learning and provides a thorough hands-on understanding of the subject. Num Pages: 400 pages. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 233 x 178. . . 2016. 1st Edition. Paperback. . . . .
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ISBN 10: 1449369413 ISBN 13: 9781449369415
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Condition: New. Many Python developers are curious about what machine learning is and how it can be concretely applied to solve issues faced in businesses handling medium to large amount of data. Machine Learning with Python teaches you the basics of machine learning and provides a thorough hands-on understanding of the subject. Num Pages: 400 pages. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 233 x 178. . . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Published by O'reilly Media Jul 2016, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. 384 pp. Englisch.