# machine learning

A pretty good review for recsys. Goes over content-based and collaborative filtering (item-based and model-based) approach.

## Notes on Maximum Likelihood, Maximum A Posteriori and Naive Bayes

Let $$\data$$ be a set of data generated from some distribution parameterized by $$\theta$$. We want to estimate the unknown parameter $$\theta$$. What we can do?

## Sparse Image Reconstruction via L1-minimization

Original Minimum Energy Reconstruction Sparse Reconstruction