Introduction to Adaptive Learning from Streaming Data by Dr Zliobaite, Wednesday 30th of May:

Kindly announce that our next speaker of the STRC seminar series will be Dr Indrė Žliobaitė. The talk will take place next Wednesday, 30th of May in Lawrence Lecture Theatre at 16:00 h (please click for a map)

Indrė (Lecturer in BU as most of us know) will present novel angles of her work in a highly didactic fashion. She will talk about an exciting topic, strategies for predicting streaming data. This is particularly attractive for instance for those of us involved in projects in real-time industrial settings.

Please feel free to show up if you like it regardless you background!

The talk title is:

“Introduction to Adaptive Learning from Streaming Data”

Short description:

Changing data over time presents one of the major challenges in predictive modelling applications, for example automated movie recommendation, bankruptcy prediction, spam categorization, food sales prediction and many more. In such situations predictive models need to have mechanisms to update or retrain themselves using recent data, otherwise they will quickly lose accuracy. This talk will give an introductory overview of settings and algorithms for adaptive predictive modelling.

Best Wishes, Emili