Applications of Mixed Effect Random Forests

Clustered data is all around us. The best way to attack it? Mixed effect models. Inspired by the models Sourav and his team build at Manifold, they developed an open source-implementation package for the Python community to use — and build upon: Mixed Effects Random Forests. Sourav will explain how the mixed effects random forests model marries the world of classical mixed effect modeling with modern machine learning algorithms, and how it can be extended to be used with other advanced modeling techniques like gradient boosting machines and deep learning. He will provide examples of use cases of mixed effects random forests, and demonstrate MERF performance on synthetic and real data.