| Lesson | Slides (PDF) | Commentary (HTML) | Commentary (PDF) | Recap (TXT) |
|---|---|---|---|---|
| Lesson00-Class | Slides | Commentary | Commentary | Recap |
| Lesson01.1-AI_and_Machine_Learning | Slides | Commentary | Commentary | Recap |
| Lesson01.2-The_Foundations_of_AI | Slides | Commentary | Commentary | Recap |
| Lesson01.3-Brief_History_of_AI | Slides | Commentary | Commentary | Recap |
| Lesson02.1-A_Map_of_Machine_Learning | Slides | Commentary | Commentary | Recap |
| Lesson02.2-ML_Paradigms | Slides | Commentary | Commentary | Recap |
| Lesson02.3-ML_Techniques_Input_Processing | Slides | Commentary | Commentary | Recap |
| Lesson02.4-ML_Techniques_Model_Learning | Slides | Commentary | Commentary | Recap |
| Lesson02.5-ML_Techniques_Model_Evaluation | Slides | Commentary | Commentary | Recap |
| Lesson02.6-ML_Techniques_How_To_Do_Research | Slides | Commentary | Commentary | Recap |
| Lesson03.1-Knowledge_representation | Slides | Commentary | Commentary | Recap |
| Lesson03.2-Propositional_and_first_order_logic | Slides | Commentary | Commentary | Recap |
| Lesson03.3-Non_classical_logics | Slides | Commentary | Commentary | Recap |
| Lesson04.1-Models | Slides | Commentary | Commentary | Recap |
| Lesson04.2-Models | Slides | Commentary | Commentary | Recap |
| Lesson04.3-Models | Slides | Commentary | Commentary | Recap |
| Lesson05.1-Learning_Theory | Slides | Commentary | Commentary | Recap |
| Lesson05.2-Overfitting | Slides | Commentary | Commentary | Recap |
| Lesson05.3-Learn_Validation | Slides | Commentary | Commentary | Recap |
| Lesson06.1-Bayesian_Networks | Slides | Commentary | Commentary | Recap |
| Lesson06.2-Using_Bayesian_Networks | Slides | Commentary | Commentary | Recap |
| Lesson07.1-Intro_to_Probabilistic_Programming | Slides | Commentary | Commentary | Recap |
| Lesson07.2-Posterior_Based_Decisions | Slides | Commentary | Commentary | Recap |
| Lesson07.3-Hierarchical_Models | Slides | Commentary | Commentary | Recap |
| Lesson07.4-Generalized_Linear_Models | Slides | Commentary | Commentary | Recap |
| Lesson07.5-Bayesian_Model_Comparison | Slides | Commentary | Commentary | Recap |
| Lesson08.1-Causal_AI_intro | Slides | Commentary | Commentary | Recap |
| Lesson08.2-Causal_AI_concepts | Slides | Commentary | Commentary | Recap |
| Lesson08.3-Causal_AI_in_business | Slides | Commentary | Commentary | Recap |
| Lesson08.4-Causal_networks | Slides | Commentary | Commentary | Recap |
| Lesson08.5-Do_calculus | Slides | Commentary | Commentary | Recap |
| Lesson08.6-Causal_inference_intro | Slides | Commentary | Commentary | Recap |
| Lesson08.7-Causal_experiments | Slides | Commentary | Commentary | Recap |
| Lesson08.8.Causal_Linear_Regression | Slides | Commentary | Commentary | Recap |
| Lesson08.9-Effect_heterogeneity_and_Metalearners | Slides | Commentary | Commentary | Recap |
| Lesson08.X-Causal_inference | Slides | Commentary | Commentary | Recap |
| Lesson09.1-Reasoning_over_time | Slides | Commentary | Commentary | Recap |
| Lesson09.2-Hidden_Markov_Models | Slides | Commentary | Commentary | Recap |
| Lesson09.3-Multi_Armed_Bandits | Slides | Commentary | Commentary | Recap |
| Lesson09.4-gh_Filter | Slides | Commentary | Commentary | Recap |
| Lesson09.5-Kalman_Filter | Slides | Commentary | Commentary | Recap |
| Lesson09.6-Dynamic_Bayesian_Networks | Slides | Commentary | Commentary | Recap |
| Lesson09.7-Advanced_Bandits | Slides | Commentary | Commentary | Recap |
| Lesson10.1-Timeseries_forecasting | Slides | Commentary | Commentary | Recap |
| Lesson10.2-Causal_Inference_for_Time_Series | Slides | Commentary | Commentary | Recap |
| Lesson11.1-Decision_Making_with_Causal_Models | Slides | Commentary | Commentary | Recap |
| Lesson11.2-Probabilistic_deep_learning | Slides | Commentary | Commentary | Recap |
| Lesson12.1-Reinforcement_learning | Slides | Commentary | Commentary | Recap |
| Lesson12.2-Causal_Discovery | Slides | Commentary | Commentary | Recap |
| Lesson13.1-Explainability | Slides | Commentary | Commentary | Recap |