The third 2020 Gibbons lecture is on the 14th October 2020 from 6-7pm in Room B10, The General Library, 5 Alfred St. Refreshments and networking are after the lecture at 7pm.
Much of scientific research involves the generation and testing of hypotheses that can facilitate the development of accurate models for a system. In machine learning the automated building of accurate models is desired, however, traditional machine learning often assumes that the underlying systems are static and unchanging over time. In this talk, Dr Yun Sing Koh from the School of Computer Science at The University of Auckland will discuss research in the area of data streams and how we adapt to changes in the data.
Please register here to attend in person. The lecture will be streamed live and later available as a podcast.
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