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, with an emphasis on using a rolling window approach to deal with sequence data. The tutorial covers also how to tackle anomaly detection problem by relying on an autoregressor, and how to build basic ensembles via selection and summation.

This tutorial relies on publicly available data.

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