Probabilistic ML - 25 - Revision
Tübingen Machine Learning
This comprehensive revision of the course's first half centers on achieving tractability in probabilistic machine learning through foundational concepts and Gaussian distributions. While general inference is often computationally intractable due to exponential complexity, Gaussian distributions offe …