S01 EP09: Peter Gmeiner | Causal Inference, Robots & How To Draw Conclusions from Data?

Peter Gmeiner is a brilliant Mathematician, Software Developer & Senior Machine Learning Engineer at GfK, who is currently working in AI sphere, applying causal inference in practice e.g. causal inference engines. Structured, kind, and simply great human-being with tons of technical knowledge built on top of foundational understanding in Maths, Research & Machine Learning.
In this episode we've been talking about causality (or inferring the causes from the data), correlations, causal inference in Machine Learning, general AI & humanity. It was an extremely insightful conversation from the perspective of Mathematics, Intelligence, Computer Science & Humanity.
P.S. Sorry for the quality of the audio. I'll do everything I can to avoid that kind of recording quality in the future. I hope you can still learn something from the episode!
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