Statistical ML paradigms

Statistical machine learning leverages mathematical and probabilistic principles to extract patterns and make predictions from data. This talk explores key paradigms—supervised, unsupervised, semi-supervised, and reinforcement learning—along with advanced approaches like probabilistic models, ensemble methods, and deep learning. We will highlight their principles, applications, and real-world impact across different domains. Attendees will gain a clear understanding of these paradigms’ roles in building intelligent systems and driving innovation.

May 10, 2020 9:00 PM — 10:00 PM

SMLC