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Item type | Location | Call Number | Status | Notes | Date Due |
---|---|---|---|---|---|
Book | AUM Main Library English Collections Hall | 005.133 M958 (Browse Shelf) | Available | invoice 2021/1473 | |
Book | AUM Main Library English Collections Hall | 005.133 M958 (Browse Shelf) | Available | invoice 2021/1473 |
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005.133 M626Microsoft GW-BASIC interpreter : | 005.133 M951Java actually : | 005.133 M951Java actually : | 005.133 M958Introduction to machine learning with Python : | 005.133 M958Introduction to machine learning with Python : | 005.133 P267Dynamic web application development using XML and Java / |
Gift of Dr. and Mrs. F.F. Piercy
Includes index.
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.
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. --
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