This is one of a series of tutorials that are part of the "AI in the Industry" course at University of Bologna. Each tutorial tackles a simplified industrial problem and aims at showing how similar problem can be tackled using AI techniques, from Machine Learning to Combinatorial Optimization (and later on their combination).

This tutorial in particular tackles a simple anomaly detection task via density estimation techniques. The focus is on building an end-to-end solution, where calibrating the detection threshold can be as important as building the density estimation model itself.

The tutorial relies on publicly available data.

The guide is available at the URL specified at the top of this page, or directly on Binder