统计学习基础

《统计学习基础(第2版)》是2015年1月1日世界图书出版社出版的图书，作者是黑斯蒂(Hastie T.)。

• 书名 统计学习基础(第2版)
• 作者 黑斯蒂(Hastie T.)
• ISBN 9787510084508
• 定价 98元
• 出版社 世界图书出版

内容简介

　　This book is our attempt to bring together many of the important new ideas in learning, and explain them in a statistical framework. While some mathematical details a调慢re needed, we emphasize the methods and their conceptual underpinnings rather than their t易heoretical properties. As a result, we hope that this book will appeal not just to stat的乙策会演isticians but also to researchers and prac来自titioners in a wide variety of fields.

图书目录

　　Preface to the Second Edition

　　Prefac安e to the First Edition

　　1 Introduction

　　2 Overview of Supervise360百科d Learning

　　2.1 Introd接答黑款水uction

　　2.2 Variable Types and Terminology

　　2.3 Two Simple Approaches to Prediction

　　Least Squares and Nearest Neighbors

　　2.3掉目孔.1 Linear Models and Least Squares

　　2.3.2 Nearest-Neighbor Methods

　　2.3.3 From Least Squares to Nearest Neighbors

　　2.4 Statistical Decision Theory

　　2.5 Local Me主造围读买促介损thods in High Dimensio沙升皇药克尽ns

　　2.6 Statistical Models, Supervis友原免早ed Learning and Function Approximation

　　2.6.1 A Statistical Model for the Joint Distribution Pr(X,Y)

　　2.6.2 Supervised Learning

　　2.6.3 Function Approximation

　　2.7 Structured Regression Models

　　2.7.1 Difficulty of the Pro曾村blem

　　2.8 Clas守ses of Restricted Estimators

　　2.8.1 Roughness Penalty and Bayesian Methods

　　2.8.2 Kernel Methods and Local Regression

　　2.8.3 Basis Functio计超球冷挥音大方ns and Dictionary Methods

　　2.9 Model Selection and the Bias-Variance rlyadeoff

　　Bibliographic Notes

　　Exercises