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John Baez (Jun 15 2022 at 04:28):If you're into machine learning there are lots of talks here:
John Baez (Jun 15 2022 at 04:32):I'm giving a talk there this Thursday, June 16th, at 18:00 Lisbon time, which is 10:00 in California:
Shannon entropy is a powerful concept. But what properties single out Shannon entropy as special? Instead of focusing on the entropy of a probability measure on a finite set, it can help to focus on the "information loss", or change in entropy, associated with a measure-preserving function. Shannon entropy then gives the only concept of information loss that is functorial, convex-linear and continuous. This is joint work with Tom Leinster and Tobias Fritz.
John Baez (Jun 15 2022 at 04:33):You can watch the talk on Zoom by clicking on the talk title.
John Baez (Jun 15 2022 at 04:35):This will be a lot like the talk I gave at the tutorial at CUNY with @Tai-Danae Bradley in May, and you can watch that one here.