Introduction to Nonparametric Estimation (Springer Series in Statistics)

Introduction to Nonparametric Estimation (Springer Series in Statistics) > Lists

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Alexandre B. Tsybakov

Introduction to Algorithms by Thomas H. Cormen

Information Theory, Inference, and Learning Algorithms by David J.C. MacKay

Conceptual Mathematics by F. William Lawvere

An Introduction To The Theory Of Numbers by G.H. Hardy

An Invitation to Applied Category Theory by Brendan Fong

Mathematics and Foundations of Computer Science (University of Oxford)

111th out of 172 books — 26 voters

A Probabilistic Theory of Pattern Recognition by Luc Devroye

Foundations of Machine Learning by Mehryar Mohri

Understanding Machine Learning by Shai Shalev-Shwartz

Geometric Modeling in Probability and Statistics by Ovidiu Calin

Concentration Inequalities by Stéphane Boucheron

Machine Learning for the Pure Mathematician

49th out of 54 books — 3 voters

Differential Forms in Algebraic Topology by Raoul Bott

Mathematical Methods of Classical Mechanics by Vladimir I. Arnold

Introduction to Smooth Manifolds by John M. Lee

Categories for the Working Mathematician by Saunders Mac Lane

The Arithmetic of Elliptic Curves by Joseph H. Silverman

Mathematics Part III (University of Cambridge)

201st out of 270 books — 13 voters

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