Syllabus is available here
| Lecture | Date | Content | Evaluation |
| 1 | 1/13/20 | Basics (I): Syllabus, Brief Review, and Joint Distribution and Independence details | |
| 2 | 1/15/20 | Basics (I): Joint Distribution and Independence details | |
| 3 | 1/20/20 | MLK Day (No Class) | |
| 4 | 1/22/20 | Basics (I): Joint Distribution and Independence details | PS1 and Titanic Data ; Quiz 1 and Quiz 1 Rmd |
| 5 | 1/27/20 | Basics (II): Measures of Linear Relations and Their Applications details | |
| 6 | 1/29/20 | Basics (II): Measures of Linear Relations and Their Applications details | PS2, Wage Data and Forecast Data ; Quiz 2 and Quiz 2 Rmd |
| 7 | 2/3/20 | Machine Learning (I): Unsupervised Learning, Covariance and Principal Component Analysis details | |
| 8 | 2/5/20 | Cancelled due to Snow | |
| 9 | 2/10/20 | Machine Learning (I): Classification and Conditional Distribution details | PS3; Quiz 3 and Quiz 3 Rmd |
| 10 | 2/12/20 | Machine Learning (I): Classification and Conditional Distribution details | |
| 11 | 2/17/20 | Machine Learning (II): Makov Chain, Statistical Language Model and Conditional Distribution details | |
| 12 | 2/19/20 | Machine Learning (II): Makov Chain, Statistical Language Model and Conditional Distribution details | PS4; Quiz 4 |
| 13 | 2/24/20 | Machine Learning (II): Makov Chain, Statistical Language Model and Conditional Distribution details | |
| 14 | 2/26/20 | Machine Learning (III): Bayes' Rule: Definition, Application, and Bayesian Estimation details | PS4; Quiz 5 |
| 15 | 3/2/20 | Machine Learning (III): Bayes' Rule: Definition, Application, and Bayesian Estimation details | |
| 16 | 3/4/20 | Machine Learning (IV): Conditional Independence, Naïve Bayes Classifier and Other Applications details | PS6; Quiz 4 |
| 17 | 3/9/20 | Machine Learning (IV): Conditional Independence, Naïve Bayes Classifier and Other Applications details | |
| 18 | 3/11/20 | Midterm | |
| 19 | 3/16/20 | Spring Break | |
| 20 | 3/18/20 | Spring Break | |
| 21 | 3/23/20 | Machine Learning (V): Conditional Expectation and Linear Regression details | |
| 22 | 3/25/20 | Machine Learning (V): Conditional Expectation and Linear Regression details | PS7 |
| 23 | 3/30/20 | Machine Learning (VI): Conditional Expectation, Nonparametric and Parametric Models details | PS8; Quiz 5 |
| 24 | 4/1/20 | Machine Learning (VI): Conditional Expectation, Nonparametric and Parametric Models details | |
| 25 | 4/6/20 | Machine Learning (VI): Conditional Expectation, Nonparametric and Parametric Models details | PS8 |
| 26 | 4/8/20 | Machine Learning (VII): More Examples of Linear Regression details | PS9 |
| 27 | 4/13/20 | Machine Learning (VIII): High Dimension, Regularization and Lasso details | |
| 28 | 4/15/20 | Machine Learning (VIII): High Dimension, Regularization and Lasso details | |
| 29 | 4/20/20 | Causal Inference (I): Introduction to Causal Inference details | |
| 30 | 4/22/20 | Causal Inference (I): Introduction to Causal Inference details | |
| 31 | 4/27/20 | Causal Inference (II): Subclassification, Matching, and Linear Regression details | |
| 32 | 4/29/20 | Causal Inference (III): Regression Discontinuity details |
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