Math & Optimization · advanced · concept 49 of 176

📐Bayesian ML & Uncertainty

Instead of one best model, keep a distribution over models and let predictions carry error bars. Bayesian methods quantify what the model does not know, which matters when a wrong-but-confident answer costs money or lives. The ideas power probabilistic programming and calibrated forecasting.