Streaming Gradient Boosting for Evolving Data Streams
Zoe Sanchez
This is the third article in our Stream Mining blog series. Following “Learning From Data Streams: Foundations of Stream Learning” by Dr. Sebastian Buschjäger and the second contribution on “Green Online Learning with Heterogeneous Ensembles“, this post dives deeper into Streaming Gradient Boosting. We explore how boosting methods can be adapted to evolving data streams and how recent advances finally make gradient boosting viable under concept drift.
From Static Models to Streaming Data
In the.