Our Spring 2018 release brings Fusions to the BigML platform, a new supervised resource that solves classification or regression problems using the power of several models. A Fusion combines different supervised models (models, ensembles, logistic regressions, and deepnets) and aggregates their predictions to balance out the individual weaknesses of single models. Fusions, available from the BigML Dashboard, API, and WhizzML, follow the same principle as ensembles, where the combination of multiple models often provides better performance than any of the individual components.
Learn about Fusions
The Webinar Video
Watch the Fusions launch webinar.