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Springer An Introduction to Statistical Learning with R

Amazon

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£71.24 £65.58 £66.81 £68.05 £69.28 £70.52 £71.76 25 July 2026 31 July 2026 06 August 2026 12 August 2026 19 August 2026
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Price levels: 2 different prices over 26 days

Description

An Introduction to Statistical Learning by Springer provides an accessible overview of statistical learning techniques. This essential resource helps you make sense of complex data sets across diverse fields such as biology, finance, marketing, and astrophysics. The book covers important modeling and prediction methods, offering practical applications for modern data challenges. It is a foundational text for anyone studying mathematics, probability, or statistics in a higher education setting.

Key Features

This Springer Texts in Statistics book covers essential modeling and prediction techniques for data analysis.

Learn key topics including linear regression, classification, and resampling methods for statistical learning.

Explore advanced concepts such as shrinkage approaches, tree-based methods, and support vector machines.

The text includes practical applications for clustering, deep learning, survival analysis, and more.

Ideal for higher education students in mathematics, applied mathematics, and probability studies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 July 2021
Listed Since
17 December 2020

Barcode

No barcode data available

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