Introduction To Statistical Learning
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24 mai 2025
Springer International Publishing AG
An Introduction to Statistical Learning: With Applications in Python
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An Introduction to Statistical Learning: With Applications in R
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Introduction to Statistical Physics
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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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Wspc
Introduction To Statistical Mechanics
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
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Language Published: English
Binding: Hardcover
Comes in Good condition
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Morgan Kaufmann
Introduction to Statistical Machine Learning (English Edition)
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Springer
Introduction to Scientific Programming: Computational Problem Solving Using Maple and C
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Morgan Kaufmann
Introduction to Statistical Machine Learning (English Edition)
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An Introduction to Statistical Learning. With Applications in R
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