An Introduction To Statistical Learning: With Applications In Python
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Product Information
Brand
Pagify
Ideal For
Reading
Material
Paper
Country Of Origin
India
Pack Of
1
Author
Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani
Genre
Science & Mathematics
Isbn
9783031387463
Page Count
607
Product Type
Book
Product Description
- Premium Quality: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years.
- Product Design: This book presents some of the most important modeling and prediction techniques, along with relevant applications, covering topics including linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.
- User Experience: Color graphics and real-world examples are used to illustrate the methods presented, making complex statistical concepts approachable and engaging.
- Versatile Occasion: This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical and machine learning methods to analyse their data.
- Quality Assurance: Spanning 607 pages in paperback format, this edition is published under the Pagify brand and printed in India with ISBN 9783031387463.
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