How much of machine learning is computer science vs. statistics? originally appeared ... Statisticians are concerned with abstract probability models and don't like to think about how they are ...

Probability theory provides a framework for modelling uncertainty. I highlight five areas of current research at the frontier of probabilistic machine learning, emphasizing areas that are of broad ...

Many methods from statistics and machine learning (ML) may ... achieved through the creation and fitting of a project-specific probability model. The model allows us to compute a quantitative ...

Most modern learning theory starts with Bayes’ representation of knowledge from probability. In the 1970s, Andrei Kolmogorov put forth a different approach to statistics that coined Kolmogorov ...

“The field of machine learning has borrowed several concepts from statistics and built new algorithms and tools on top of them while also incorporating theory from other mathematical ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

Among all the statistics his platform can produce, the one that stands out for Skoff is win probability ... who previously built machine learning software for financial companies like Capital ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...