Date Topic Reading Pre-class video Script
0 09-08 Welcome! - - [prismia]
1 09-10 Programming in Julia [prismia] [prismia] [prismia]
2 09-13 Linear Algebra Practice [prismia] [prismia] [prismia]
3 09-15 Eigenvectors and eigenvalues [prismia] [prismia] [prismia]
4 09-17 Multivariable Calculus [prismia] [prismia] [prismia]
5 09-20 Matrix differentiation [prismia] [prismia] [prismia]
6 09-22 Machine arithmetic, numerical error [prismia] [prismia] [prismia]
7 09-24 Pseudorandom numbers and automatic differentiation [prismia] [prismia] [prismia]
8 09-27 Gradient descent algorithms [prismia] [prismia] [prismia]
9 09-29 Probability Review [prismia] [prismia] [prismia]
10 10-01 Bayes' theorem and conditional expectation [prismia] [prismia] [prismia]
11 10-04 Common Distributions and the Central Limit Theorem [prismia] [prismia] [prismia]
12 10-06 Simulation techniques and introduction to statistics [prismia] [prismia] [prismia]
13 10-08 Kernel density estimation [prismia] [prismia] [prismia]
14 10-13 Point estimation and confidence intervals [prismia] [prismia] [prismia]
15 10-15 Empirical CDF convergence and bootstrapping [prismia] [prismia] [prismia]
16 10-18 Maximum likelihood estimation and hypothesis testing [prismia] [prismia] [prismia]
17 10-20 Statistical Learning Theory [prismia] [prismia] [prismia]
18 10-22 Linear Regression and Quadratic Discriminant Analysis [prismia] [prismia] [prismia]
19 10-25 Likelihood ratio classification [prismia] [prismia] [prismia]
20 10-27 Generative models (QDA, LDA, Naive Bayes) [prismia] [prismia] [prismia]
21 10-29 Logistic Regression [prismia] [prismia] [prismia]
22 11-01 Support Vector Machines [prismia] [prismia] [prismia]
23 11-03 Support Vector Machines (II) [prismia] [prismia] [prismia]
24 11-05 Decision Trees [prismia] [prismia] [prismia]
25 11-08 Ensemble Methods [prismia] [prismia] [prismia]
26 11-10 Neural Networks [prismia] [prismia] [prismia]
27 11-12 Neural Networks (II) [prismia] [prismia] [prismia]
28 11-15 Dimension Reduction [prismia] [prismia] [prismia]
29 11-17 Bayesian Statistics and Markov Chains [prismia] [prismia] [prismia]
30 11-19 Markov Chain Monte Carlo [prismia] [prismia] [prismia]
11-22 Exam Review
31 11-24 Bayesian Statistics Review [prismia] [prismia] [prismia]
11-29 Causal Inference [prismia] [prismia]
32 12-01 Elements of Mathematical Exposition
33 12-03 Review Day
34 12-06 Review Day
12-08 Review Day