| Lesson | Slides (PDF) | Commentary (HTML) | Commentary (PDF) | Recap (TXT) |
|---|---|---|---|---|
| Lesson01.1_Introduction | Slides | Commentary | Commentary | Recap |
| Lesson02.1_From_Data_Science_To_Decision_Science | Slides | Commentary | Commentary | Recap |
| Lesson02.2_Integrating_Causality_And_Probability_in_ML | Slides | Commentary | Commentary | Recap |
| Lesson02.3_Integrating_Business_Objective_And_Real_World_Dynamics | Slides | Commentary | Commentary | Recap |
| Lesson04.1_Knowledge_Representation | Slides | Commentary | Commentary | Recap |
| Lesson05.1_Probabilistic_ML | Slides | Commentary | Commentary | Recap |
| Lesson06.1_Causal_ML | Slides | Commentary | Commentary | Recap |
| Lesson07.1_Building_Probabilistic_And_Causal_Knowledge | Slides | Commentary | Commentary | Recap |
| Lesson08.1_Causal_Data_Pipelines | Slides | Commentary | Commentary | Recap |
| Lesson10.1_Taxonomy_of_Decision_Problems | Slides | Commentary | Commentary | Recap |
| Lesson11.1_Simple_Decisions | Slides | Commentary | Commentary | Recap |
| Lesson12.1_Complex_Decisions | Slides | Commentary | Commentary | Recap |
| Lesson15.1_Deployment_Monitoring_And_Adaptation | Slides | Commentary | Commentary | Recap |