Chapter 1: Regression
Chapter 2: Uncertainty Quantification
Chapter 3: Regularization and Selection
Chapter 4: Classification
Chapter 5: Causal Inference with Experiments
Chapter 6: Causal Inference with Controls
Chapter 7: Trees and Forests
Chapter 8: Factor Models
Chapter 9: Text as Data
Chapter 10: Deep Learning
Appendix: R Primer