Day | Topic | Quiz | Class | Prep | Due |
---|---|---|---|---|---|
W 9/12 | Intro | C1 | P1 | ||
F 9/14 | Linear algebra, Matlab | Q2 | C2 | P2 | |
M 9/17 | Linear regression w/ one variable | Q3 | C3 | P3 | |
W 9/19 | Linear regression w/ multiple vars | Q4 | C4 | P4 | |
F 9/21 | Logistic regression | Q5 | HW1 | – | |
M 9/24 | Recap, regression exercise | C6 | P6 | HW1 | |
W 9/26 | Logistic regression w/ regularization | Q7 | C7 | P7 | |
F 9/28 | Neural nets 1 | Q8 | C8 | P8 | |
M 10/1 | Neural nets 2, backprop | Q9 | HW2 | P9 | |
W 10/3 | Neural nets 3 | Q10 | C10 | – | |
F 10/5 | HW2 competition, catch up | R2 | P11 | HW2 | |
M 10/8 | Bias vs. variance | Q12 | C12 | P12 | |
W 10/10 | Precision and recall, HW3 | Q13 | HW3 | P13 | |
F 10/12 | Fall Break | ||||
M 10/15 | Stochastic gradient descent, SVMs | Q14 | HW3 | P14 | |
W 10/17 | SVMs, kernels, k-nearest neighbors | Q15 | C15 | – | |
F 10/19 | HW3 competition, exam info | Q16 | R3 | P16 | HW3 |
M 10/22 | Midterm review | Q17 | – | Midterm | |
W 10/24 | SVMlight lab | Q18 | C18 | P18 | |
F 10/26 | K-means clustering | Q19 | C19 | P19 | |
M 10/29 | PCA | Q20 | C20 | P20 | HW4.1 |
W 10/31 | PCA 2, density estimation | Q21 | HW4 | – | |
F 11/2 | HW4 competition | Q22 | R4 | P22 | HW4 |
M 11/5 | Anomaly detection, HW5 | Q23 | HW5 | P23 | |
W 11/7 | Recommender systems | Q24 | HW5 | P24 | |
F 11/9 | Low rank matrix factorization | Q25 | C25 | P25 | |
M 11/12 | ML pipelines | Q26 | C26 | P26 | |
W 11/14 | HW5, FP brainstorming | Q27 | R5 | P27 | HW5 |
F 11/16 | FP proposal presentations | Q28 | |||
M 11/19 | FP proposals | ||||
W 11/21 | Thanksgiving | ||||
F 11/23 | Thanksgiving |