The learning machine and beyond: a tour for the curious

Abstract: This talk will draw a few perspectives on the broad topic of Machine Learning, with non-specialists in mind. We will go through major subfields like supervised, unsupervised, or active learning, never forgetting the emergent reinforcement learning. We will cover a few different trends over recent years, like the mathematically inclined Support Vector Machine, or the empirical Deep Learning.

machine learningmathematical physicsinformation theoryoptimization and controlprobabilitystatistics theory

Audience: researchers in the topic

( video )

Mathematics, Physics and Machine Learning (IST, Lisbon)

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Zoom link: videoconf-colibri.zoom.us/j/91599759679