Regression and Deep Learning
Konrad discusses the cyclical nature of regression in data science, highlighting how every few decades, new excitement arises around its applications. He draws parallels between past enthusiasm for linear regression and the current fascination with deep learning, emphasizing that despite advancements, fundamental challenges like causality and logical reasoning remain unsolved.In this clip
From this podcast
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SDS 469: Learning Deep Learning Together — with Konrad Körding
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