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SL - 11 Advanced Risk Minimization - 06 Advanced Regression Losses
Автор: Statistical Learning and Data Science
Загружено: 2025-04-15
Просмотров: 90
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This video is part of the 🌟Supervised Learning (SL)🌟 course from the SLDS teaching program at LMU Munich.
📌 Topic: Huber Loss, Log-Cosh Loss, Cauchy Loss, Epsilon-Intensive Loss, Quantile Loss.
📖 Course Materials: Slides, code, and exercises are available in the https://github.com/slds-lmu/lecture_sl
📽️ Playlist: Watch the full chapter here • SL - 11 Advanced Risk Minimization
📂 Section: Watch the full lecture in section "Supervised Learning (SL)"
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