An Introduction To R
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11 maggio 2025
Springer
An Introduction to Statistical Learning: with Applications in R
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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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Samurai Media Limited
An Introduction to R
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Pelagic Publishing
An Introduction to R: Data Analysis and Visualization (Research Skills) (English Edition)
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Springer
An Introduction to Statistical Learning: With Applications in R
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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
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Network Theory Limited
An Introduction to R
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Independently published
Introduction to R Programming: A Comprehensive Handbook
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Chapman and Hall/CRC
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
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Pearson
Introduction to Nuclear Engineering: Pearson New International Edition (English Edition)
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Harcourt Publishers Group (Australia) Pty.Ltd
Introduction to Psychology
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LAP Lambert Academic Publishing
Introduction to R
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introduction to r
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