Machine Learning
homework 1: random variables and probability.
homework 2: MLE, MAP, and ridge regression.
homework 3: naive bayes and logistic regressoin.
homework 4: support vector machine.
homework 5: adaboosting, k-means, libSVM.
homework 6: PCA, CNN
homework 7: EM, GAN, RNN
| Homework | Mean | Median | Me | Bonus |
|---|---|---|---|---|
| 1 | 94.3 | 100 | 95 | - |
| 2 | 81.2 | 84.6 | 93.8 | - |
| 3 | 93.7 | 96 | 100 | - |
| 4 | 77.9 | 84.1 | 77.8 | - |
| 5 | 91.0 | 96 | 97 | - |
| 6 | 87.4 | 90.6 | 96.8 | +10 |
| 7 | 85.3 | 88.5 | 84.5 | - |
hw1 and hw3 worth 5% in final grade, the others worth 10% each. 7 homeworks contribute 60% to final grade.
My rating on the professor: 1/10/2019