Sergio Solorzano Rocha
Sergio Solórzano Rocha earned a PhD in physics from ETH Zürich focusing on computational physics. He published multiple papers on numerical algorithms for physical simulations and analysis. He is currently a senior researcher and developer at Exeon Analytics, where he works on building systems for anomaly detection in cybersecurity.
Beitrag
Anomaly detection is one of the most practical applications of machine learning and statistics. It is relevant in finance, manufacturing, software operations, healthcare, industrial operations and many more.
During the workshop you will learn the principles and basics techniques of anomaly detection in a hands on fashion. You will code, benchmark and tests from scratch well known algorithms like Isolation Forests, ECOD, mahalanobis distance and PCA.