How to Find Pearls on the Bottom of the Sea – Autoencoders as Anomaly Detection Models

Like finding pearls on the ocean floor, detecting rare anomalies in large datasets requires sophisticated techniques. In this workshop, you'll learn the theory and practice of autoencoder architectures, how to train them for anomaly detection, how to set decision boundaries, and how to evaluate their performance. We'll work with real-world datasets and build complete anomaly detection pipelines in Python.