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Springer An Introduction to Statistical Learning Python Edition

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£59.67 £51.19 £53.04 £54.89 £56.74 £58.59 £60.44 10 July 2026 15 July 2026 20 July 2026 25 July 2026 31 July 2026

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Description

An Introduction to Statistical Learning by Springer provides an accessible overview of statistical learning. This text serves as an essential toolset for interpreting the complex data sets found in fields such as biology, finance, marketing, and astrophysics. The book covers important modeling and prediction techniques through relevant applications to help readers make sense of modern data. This edition focuses on practical implementation using Python. It guides readers through a wide range of topics including linear regression, classification, and resampling methods. You will also find detailed coverage of shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, and survival analysis. It is a foundational resource for anyone looking to master statistical modeling and prediction techniques.

Key Features

This Springer publication provides an accessible overview of the field of statistical learning.

The text includes practical applications using Python to help navigate complex data sets.

Topics covered include linear regression, classification, and various resampling methods.

Learn about advanced modeling techniques such as shrinkage approaches and tree-based methods.

The book explores support vector machines, clustering, deep learning, and survival analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 July 2024
Listed Since
22 June 2023

Barcode

No barcode data available

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