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PRML study
Chapter-1 Introduction
Chapter-2 Probability Distributions
Chapter-3 Linear Models
Chapter-4 Linear Models for Classification
Chapter-5 Neural Networks

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Chapter-3 Linear Models

3.1 Linear Basis Function Models 3.2 The Bias-Variance Decomposition 3.3 Bayesian Linear Regression 3.4 Bayesian Model comparison 3.5 The Evidence Approximation 3.6 Limitations of Fixed Basis Functions

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Last updated 5 years ago