Introduction To Statistical Learning

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Springer-Verlag GmbH

Springer-Verlag GmbH

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

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Springer

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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This book presents some of the most important modeling and prediction techniques, along with relevant applications
Topics include linear regression, classification, re-sampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented.
Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform
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Morgan Kaufmann

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Introduction to Statistical Machine Learning

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Springer

An Introduction to Statistical Data Science: Theory and Models (English Edition)

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Springer

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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An Introduction to Statistical Learning: with Applications in R Springer Texts in Statistics
Books Subjects Computing Internet Computer Science AI Machine Learning Books Subjects Computing Internet Software Graphics Business Home Office Books Subjects Science Nature Maths Mathematics Education Higher Education Books Subjects Science Nature Maths Mathematics Probability Statistics Books Subjects Scientific Technical Medical Mathematics Applied Mathematics Statistics Probability
Product Type: ABIS BOOK
Brand: Springer
75,00 € EN AMAZON

Wiley

Wiley

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Chapman and Hall/CRC

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