Language: English
Published by O'Reilly Media (edition 1), 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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paperback. Condition: VERY GOOD. Very Good. Unmarked. Clean, unmarked interior. Softcover, 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. Müller 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.
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Language: English
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
First Edition
Paperback. Condition: Very Good+. First Edition; Third Printing. 378 pages; minor creasing to back cover's bottom corner. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
Language: English
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
First Edition
Paperback. Condition: Very Good+. First Edition; First Printing. 376 pages; Very Good condition. No noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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Language: English
Published by O?Reilly Media, Inc, USA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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First Edition
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. . . . .
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Language: English
Published by O Reilly Media, Inc, USA, 2016
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.
Language: English
Published by O'Reilly Media, Inc, USA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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Language: German
Published by Heidelberg O'Reilly., 2017
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Language: English
Published by O'Reilly Media, Incorporated, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Seller: Agapea Libros, Malaga, MA, Spain
Condition: New. Idioma/Language: Inglés. 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. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
Language: English
Published by O'reilly Media Jul 2016, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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Taschenbuch. 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.
Language: English
Published by O'reilly Media Jul 2016, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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Taschenbuch. 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.
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Language: English
Published by O'reilly Media Jul 2016, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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Taschenbuch. 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.
Language: English
Published by Oreilly & Associates Inc, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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Add to basketPaperback. Condition: Brand New. 1st edition. 392 pages. 9.00x6.75x1.00 inches. In Stock.
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Condition: New. 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 w.