The schedule is tentative, it will very likely change as we go. Links to the course material will be provided in the schedule below before each class.
The course schedule
| Week | Tuesday | Thursday |
|---|---|---|
| 01 | Oct 15 No class |
Oct 17 No class |
| 02 | Oct 22 Introduction / organization [slides, 8up] |
Oct 24 Linear algebra (vector, matrices) [slides, 8up] |
| 03 | Oct 29 Linear algebra (dot product) |
Oct 31 Linear algebra (linear transformations) |
| 04 | Nov 05 Linear algebra (solving systems of equations) |
Nov 07 Linear algebra (matrix inverses, projection, regression) |
| 05 | Nov 12 Linear algebra (matrix factorization, eigenvalues/vectors, SVD) |
Nov 14 Wrap up |
| 06 | Nov 19 Calculus (derivatives) |
Nov 21 Calculus (integrals) |
| 07 | Nov 26 Calculus (finding minima/maxima) |
Nov 28 Probability theory |
| 08 | Dec 03 Probability theory |
Dec 05 Probability theory |
| 09 | Dec 10 Information Theory |
Dec 12 Information Theory |
| 10 | Dec 17 Regression / Wrap up |
Dec 19 ML intro: generalization, bias, variance |
| Dec 24 sem. break |
Dec 26 sem. break |
|
| Dec 31 sem. break |
Jan 02 sem. break |
|
| 11 | Jan 07 Logistic regression / Perceptron |
Jan 09 SVM / Naive Bayes / kNN |
| 12 | Jan 14 Linearity and NN intro |
Jan 16 k-means |
| 13 | Jan 21 Hierarchical clustering |
Jan 23 Density estimation / EM |
| 14 | Jan 28 Wrap-up |
Jan 30 Exam |
| 15 | Feb 04 Exam solutions / discussion |
Feb 06 Practical examples |