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Gareth James An Introduction To Statistical Learning

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Última actualización: 22 de mayo de 2025
Springer-Verlag GmbH
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
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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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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Foblit ltd
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Foblit ltd Conjunto de 3 libros de la colección James Smith (Cómo tener confianza [tapa dura, no es un libro de dietas, no es un entrenador de vida)
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An Introduction to Statistical Learning: with Applications in Python
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