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Title Introduction to machine learning with Python : a guide for data scientists / Andreas C. Müller and Sarah Guido.
Author Müller, Andreas C., author.
Edition First edition.
Publisher Sebastopol, CA : O'Reilly Media, Inc., 2016.
Copyright ©2017


Status Loan Type Location Shelf-mark
 In Library  24 hour  Level 3 High Demand  Computing D32.P9 2016-M  

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Description xii, 384 pages : illustrations ; 24 cm.
ISBN 9781449369415 paperback
1449369413 paperback
Note Includes index.
Contents Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up.
Summary "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." -- Provided by publisher.
Library Class Computing D32.P9
Subject Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
Other Author Guido, Sarah, author.
Alt Title Machine learning with Python

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