Ultimately, having I-Con as a guide could help machine learning scientists think outside the box, encouraging them to combine ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...

is an example of a successful machine learning method loosely based on biological neural networks. We develop probabilistic modelling techniques to produce predictions for ML challenges that require ...