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Synopsis
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...
Book Description
An Introduction
About the Author
Andreas Müller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at the New York University. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and...
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- PublisherO'Reilly Media
- Publication date2016
- ISBN 10 1449369413
- ISBN 13 9781449369415
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages398
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Introduction to Machine Learning with Python: A Guide for Data Scientists
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Published by
O'Reilly Media (edition 1), 2016
ISBN 10: 1449369413
ISBN 13: 9781449369415
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Published by
O'Reilly Media (edition 1), 2016
ISBN 10: 1449369413
ISBN 13: 9781449369415
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Published by
O'Reilly Media, 2016
ISBN 10: 1449369413
ISBN 13: 9781449369415
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Introduction to Machine Learning with Python: A Guide for Data Scientists
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