Learning From Data_低配版.pdf

发布时间：2022-04-18 发布人：admin 分类：互联网资料大小：26.48M 资料格式：pdf 举报版权申诉

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Contents

Preface

1 The Learning Problem

1.1 Problem Setup

1.2 Types of Learning .

1.3 Is Learning Feasible? .

1.4 Error and Noise

1.5 Problems

2 Training versus Testing

2.1 Theory of Generalization .

2.2 Interpreting the Generalization Bound .

2.3 Approximation-Generalization Tradeo

2.4 Problems

3 The Linear Model

3.1 Linear Classification

3.2 Linear Regression .

3.3 Logisti

3.4 Nonlinear Transformation .

3.5 Problems

4 Overfitting

4.1 When Does Overtting O

4.2 Regularization

4.3 Validation

4.4 Problems

5 Three Learning Principles

5.1 Occam's Razor

5.2 Sampling Bias

5.3 Data Snooping

5.4 Problems

Epilogue

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