Complex Systems, Regimes
Michael discusses how binning features acts as regularization in models, while Tim delves into the challenge of predicting in systems with varying regularity and chaos. Michael further explores the difficulty in creating a meta model that performs consistently across different market regimes.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Related Questions