Lecture Slides:

1. M0 Statistics Lecture 1: Observational Studies and Experiments | annotated | clean
2. M0 Statistics Lecture 2: Hypothesis Testing | annotated | clean
3. M0 Statistics Lecture 3: Multiple Hypothesis Testing | annotated | clean
4. M0 Statistics Lecture 4: Correlation and Least Squares Regression | annotated
5. M0 Statistics Lecture 5: Gradient Descent | annotated | clean
6. M1 High-Dimensional Data Lecture 1: Visualization | annotated | clean
7. M1 High-Dimensional Data Lecture 2: Classification | annotated | clean
8. M1 High-Dimensional Data Lecture 3: Clustering | annotated | clean
9. M2 Networks Lecture 1: Basics | annotated | clean
10. M2 Networks Lecture 2: Centrality Measures | annotated | clean
11. M2 Networks Lecture 3: Clustering | annotated | clean
12. M2 Networks Lecture 4: Graphical Models | annotated | clean
13. M3 Time Series Lecture 1: Introduction to Time Series | annotated
14. M3 Time Series Lecture 2: Statistical Model | annotated
15. M3 Time Series Lecture 3: Introduction to Time Series Analysis | annotated
16. M4 Gaussian Processes Lecture 1: | annotated
17. M4 Gaussian Processes Lecture 2: | annotated
18. M4 Gaussian Processes Lecture 3: | annotated