Join us for an exciting educational program aimed at expanding your statistical toolbox with Bayesian methods. The program is tailored towards users of statistics (but you don’t need to be a ...

A new mathematical model enhances the evaluation of AI identification risks, offering a scalable solution to balance technological benefits with privacy protection. AI tools are increasingly used to ...

Naive Bayes classification is a popular statistical method used in machine learning for classification tasks. It is based on Bayes' theorem and assumes that the presence of a particular feature in ...

Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

Bayesian inference with probabilistic programming.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...