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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.
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Language: English
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.
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Language: English
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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Add to basketCondition: 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.