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 ...

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 ...

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 ...

What are the differences between econometrics, statistics, and machine learning? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and ...