koba-jon / prml_julia

PRML sample programs in Julia

PRML in Julia

These are PRML sample programs written in Julia.

Contents

1. Introduction

• 1-1. Polynomial Curve Fitting
• 1-2. Regularization
• 1-3. Bayesian Curve Fitting
• 1-4. Model Evaluation

2. Probability Distributions

3. Linear Models for Regression

4. Linear Models for Classification

5. Neural Networks

6. Kernel Methods

7. Sparse Kernel Machines

8. Graphical Models

9. Mixture Models and EM

10. Approximate Inference

11. Sampling Methods

12. Continuous Latent Variables

13. Sequential Data

14. Combining Models