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Lecture
Statistical Modeling
Description
This lecture covers exercises related to statistical modeling, focusing on topics such as input data from Gibbs Ising, pruning in GCM, fairness in multiclass classification, backward compatibility measure, and simplification in teacher-student models. The slides also discuss various notes, meetings, seminars, and corrections from previous weeks.
Official source
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