Morrow, Rosemary
An Introduction to Statistical Learning
- ISBN 13:
- 9781071614204
- author:
- Morrow, Rosemary
- format:
- Paperback
- publisher:
- Unbranded
- language:
- English
- Publication Year:
- 2022
- Pages:
- 514
- Dimensions:
- 23.4 x 15.6 x 3.2 centimetres (0
- Genre:
- Computers, Artificial Intelligence, Science,
- Condition:
- New
- Availability:
- Item usually sent within 4 working days
Description
An Introduction to Statistical Learning with Applications in R provides an accessible overview of statistical learning techniques for making sense of complex data sets. This book presents key modeling and prediction methods, along with relevant applications, using color graphics and real-world examples. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Each chapter includes a tutorial on implementing the analyses and methods presented in R, an open source statistical software platform. Suitable for both statisticians and non-statisticians, this book covers cutting-edge techniques at a level accessible to a broader audience. It assumes only a previous course in linear regression and no knowledge of matrix algebra.
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