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
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