How to Find Pearls on the Bottom of the Sea - Autoencoders as Anomaly Detection Model

In the AI/Machine Learning world, we often think of anomalies as errors that need to be fixed. But what if some of those anomalies are actually opportunities of immense value? Detecting these opportunities, these "pearls," is a huge challenge due to the vastness and complexity of the data ocean. There is a solution: anomaly detection models—positive ones in this case—and we will explore them in this session.