Statistical Learning Theory

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Ultimo aggiornamento: 18 giugno 2025

Springer

Springer

The Nature of Statistical Learning Theory

98

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Wiley

Wiley

An Elementary Introduction to Statistical Learning Theory

26% Sconto Spedizione gratuita

97

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Springer-Verlag New York Inc.

Springer-Verlag New York Inc.

[(The Nature of Statistical Learning Theory )] [Author: Vladimir Vapnik] [Dec-2000]

93

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Cambridge University Press

Cambridge University Press

Algebraic Geometry and Statistical Learning Theory

91

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Springer

Springer

An Introduction to Statistical Learning: with Applications in R

83

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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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Statistical Learning Theory by Vladimir N. Vapnik (1998-09-30)

82

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Cambridge University Press

Cambridge University Press

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

81

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Springer Nature

Springer Nature

An Introduction to Statistical Data Science: Theory and Models

34% Sconto Spedizione gratuita

76

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Statistical Learning Theory (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) by Vladimir Naumovich Vapnik (1998-09-16)

72

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Cambridge University Press

Cambridge University Press

Statistical Mechanics of Learning

67

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