SL - 11 Advanced Risk Minimization - 06 Advanced Regression Losses

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)"