Lecture Number | Date | Topic | Slides | Notes |
---|---|---|---|---|
0 | 1/12/2020 | Logistics and Intro | ||
1 | 1/12/2020 | Perceptron | ||
2 | 1/14/2020 | Linear Regression | ||
3 | 1/19/2020 | Optimization Basics | ||
4 | 1/21/2020 | Statistics Basics | ||
5 | 1/26/2020 | k-Nearest Neighbours | ||
6 | 1/28/2020 | Logistic Regression | ||
7 | 2/2/2020 | Hard-margin SVM | ||
8 | 2/4/2020 | Soft-margin SVM | N/A | |
9 | 2/9/2020 | Kernels | N/A | |
10 | 2/11/2020 | Decision Trees | N/A | |
11 | 2/23/2020 | Bagging and Boosting | ||
12 | 2/25/2020 | Multi-Layer Perceptron | ||
13 | 3/2/2020 | Deep Neural Networks | html | |
14 | 3/4/2020 | Convolutional Neural Networks | html | |
15 | 3/9/2020 | Recurrent Neural Networks | html | |
16 | 3/11/2020 | Mixture Models | ||
17 | 3/18/2020 | Boltzmann Machines | ||
18 | 3/23/2020 | Belief Networks | ||
19 | 3/25/2020 | GANs | ||
20 | 3/30/2020 | Flows | N/A | |
21 | 4/1/2020 | Robustness | N/A | |
22 | 4/6/2020 | Attention | ||
23 | 4/13/2020 | Privacy |