The Continual Machine Learning Course is starting on April 14th 2023 and will contain an overall 14 lectures to learn all about machine learning beyond assumptions of a static world. Following an updated outline on last year’s iteration , we will cover important elements spanning popular transfer learning, selection of data in active learning, avoiding forgetting in sequential learning tasks, all the way to learning curricula, robust prediction on future data and the pitfalls and prospects of evaluation.
Presentation slides and materials can be found on the course website , whereas recorded lectures are available on YouTube based on last year’s live-stream. The lectures themselves won’t get re-recorded just yet. However, follow this year’s updated course for a major addition in the form of new exciting programming tutorials!