Machine Learning Crash Course

Slides I (latest course offering)

• Introduction to Machine Learning

• Local Methods and Model Selection

• Regularization Networks I: Linear Models

• Regularization Networks II: Kernels

• Dimensionality Reduction and PCA

• Variable Selection and Sparsity

• Clustering

Slides II (old lessons)

• Applications of Machine Learning

• GURLS - Machine Learning made Easy

Labs code

• Lab I: Local methods for classification

• Lab II: Regularization networks

• Lab III: Sparsity and PCA