Active Learning Overview
This is deep dive of active learning in Relativity Assisted Review, the latest offering for automatically classifying documents. During this session, we'll walk through the setup, administration, review, and validation of an active learning project, from both administrator and reviewer perspectives. We'll also cover factors to consider when deciding to use active learning or sample-based learning. You'll walk away with an intimate understanding of how active learning works as well as how to leverage it on your next case.
Trish Gleason - Technical Product Manager, Relativity Constantine Pappas - Manager, Relativity Solutions, Relativity Jim Witte - Senior Product Manager, Relativity