Machine Learning video segments by topic - Professor Yaser Abu-Mostafa Aggregation Overview of ensemble learning (boosting, blending, before and after the fact) Bayesian Learning Validity of the Bayesian approach (prior, posterior, unknown versus probabilistic) Bias-Variance Tradeoff Basic derivation (overfit and underfit, approximation-generalization tradeoff) Example (sinusoidal target function)