Python users group in Knoxville, TN
The key idea behind disengagement learning is that real-world data is generated by a few explanatory factors of variation which can be recovered using unsupervised learning algorithms. As such, it can be used to explain complex observations (for example in physics or materials sciences) through a small number of "ground truth factors". In this talk by Maxim Ziatdinov, he will present a high-level overview of the topic followed by a hands-on session with interactive Google Colab notebooks. The meetup for this month will take place in the #meetup channel in the KnoxDevs Discord server (https://discord.gg/TMNSt3KuUS).