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The Elements Of Statistical Learning

Los 10 mejores productos de octubre de 2025
Última actualización: 9 de octubre de 2025
Springer
Springer
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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#1 GANADOR

  • Language Published: English
  • Binding: Hardcover
  • Comes in Good condition
  • 71,19 € EN AMAZON
The Elements of Statistical Learning            
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#2
Educohack Press
Educohack Press
Elements of Statistical Learning (English Edition)
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Cambridge University Press
Cambridge University Press
Machine Learning for Asset Managers (Elements in Quantitative Finance) (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
Springer
Statistical Learning with Math and Python: 100 Exercises for Building Logic (English Edition)
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#6
Springer
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
  • 28,46 € EN AMAZON
ELEMENTS OF STATISTICS LEARNING: An Easy Guide To Statistics Learning (English Edition)
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#8
Springer
Springer
Elements of Dimensionality Reduction and Manifold Learning (English Edition)
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#9
Springer
Springer
Unsupervised Learning Algorithms (English Edition)
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#10
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