The Elements Of Statistical Learning
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10 de octubre de 2025
Springer
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Language Published: English
Binding: Hardcover
Comes in Good condition
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The Elements of Statistical Learning
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Springer Verlag
The Elements Of Statistical Learning. Data Mining, Inference, And Prediction (Springer Series in Statistics)
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Educohack Press
Elements of Statistical Learning (English Edition)
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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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Springer
Statistical Learning with Math and Python: 100 Exercises for Building Logic (English Edition)
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Introduction to Statistical Learning: A Comprehensive Guide to R Programming, Data Visualization, Linear Regression, Decision Tree, Clustering, Dimensionality Reduction and Many More (English Edition)
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Springer International Publishing AG
Elements of Dimensionality Reduction and Manifold Learning
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MJP Publishers
FUNDAMENTALS OF EDUCATIONAL MEASUREMENT WITH THE ELEMENTS OF STATISTICAL METHOD
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MIT Press
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
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