EP.02 – Data Science and Models00:17:01
EP.03 – Types of Models00:04:45
EP.04 – Basic Analytical Tools in Statistics _ ML00:06:09
EP.05 – Example of Learning and Design (Washing Machine)00:06:58
EP.06 – Statistics Regresstion, Null Hypothesis Tests, and Estimation Statistics00:16:27
EP.07 – Bayesian Inference Introduction00:12:39
EP.08 – The Setup of Learning Problem00:02:44
EP.09 – Machine Learning in Data Science00:14:03
EP.10 – Counterfactual, Causation, and Observation00:12:53
EP.11 – Spurious Correlations and Causation00:10:22
EP.12 – Randomized Controlled Trial and Regression Toward the Mean00:09:09
EP.13 – Two-Variable Causal Inference00:11:22
EP.14 – Multiple-Variable Causal Inference00:11:19