machine learning What is the cookie apocalypse and why should you care? In this article, we look at ways for publishers to live in the privacy conscious world.
xai Explainable ML Models: what are explanations and why do we need them? – Part I Interpretability is a key element of trust for AI models. An explanation is an interpretable description of a model behavior. For an explanation to be valid it needs to be faithful to the model and it needs to be understandable to the user.
