Everything Changes, but Your ML Models Stay the Same? (OFAI Lecture by Bernhard Pfahringer)
Channel: Austrian Research Institute for AI (OFAI)
Date: 17/11/2022

Everything Changes, but Your ML Models Stay the Same?
Prof. Dipl.-Ing. Dr.techn. Bernhard Pfahringer, University of Waikato
16 November 2022

Most Machine Learning assumes i.i.d. data, data that is independently and identically sampled from a distribution. Thus training on a sample and then applying to new samples is a sound procedure. Unfortunately, in the real world, data is almost never i.i.d. This presentation will introduce data stream mining as a way of tackling data streams that change over time. I will in particular highlight opportunities that this scenario offers, that are not present in the static i.i.d. train-then-test setup.