How to Detect Anomalies — state-of-the-art methods using Conformal Prediction

Anomaly Detection is one of the primary use cases for most of the businesses with wide range of applications from detecting anomalies in order to clean data, to data preprocessing before design of machine learning and statistical models, to applications in self-driving cars, predictive maintenance (PdM) for diagnosing machine health, detecting health conditions from medical images, indentification of anomalous patterns in credit card transactions, cybersecurity and many more.