Approaches to Fraud Detection - Autoencoder and Isolation Forest - Fraud Detection Using ML

Approaches to Fraud Detection - Autoencoder and Isolation Forest - Fraud Detection Using ML

Explore fraud detection techniques using machine learning in this comprehensive webinar. Learn to combat fraud using KNIME, a free low-code tool, without writing code or relying on if-then rules. Discover approaches for both labeled and unlabeled data, including random forest, autoencoders, visualizations, and statistical methods. Master the use of Isolation Forest and DBSCAN algorithms for detecting fraudulent activity. Gain practical skills in implementing various fraud detection techniques using the KNIME Analytics Platform, from basic decision trees to advanced deep learning methods.