Causality - Hey, We Have Machine Learning, So Why Even Bother?
Judea Pearl and the Ladder of Causation
Regression, Observations, and Interventions
Graphical Models
Forks, Chains, and Immoralities
Nodes, Edges, and Statistical (In)dependence
The Four-Step Process of Causal Inference
Causal Models - Assumptions and Challenges
Causal Inference and Machine Learning - from Matching to Meta-Learners
Causal Inference and Machine Learning - Advanced Estimators, Experiments, Evaluations, and More
Causal Inference and Machine Learning - Deep Learning, NLP, and Beyond
Can I Have a Causal Graph, Please?
Causal Discovery and Machine Learning - from Assumptions to Applications
Causal Discovery and Machine Learning - Advanced Deep Learning and Beyond
Epilogue