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 addresses anomaly detection problems using neural model, in particular via density estimators (Real NVPs) and autoencoders. The tutorial shows also how to use binning to reduce subsample a high-frequency data series.

This tutorial relies on publicly available data.

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