| 3/31 |
Python, Probability Fundamentals |
Section notes,
Solutions,
Python intro (notebook runnable),
Python intro (html),
Python slide deck
|
| 4/7 |
Linear Algebra and Linear Regression |
Section notes,
Solutions
|
| 4/14 |
Bias and Estimation |
Section notes,
Solutions
|
| 4/21 |
Data Normalization, ML errors, Vector Calculus |
Section notes,
Solutions
|
| 4/28 |
Cross Validation, Subgradients, Convexity, Gradient Descent |
Section notes,
Solutions
|
| 5/5 |
SGD, Pytorch |
Section notes,
SGD (notebook runnable),
SGD (html),
Pytorch introduction (notebook runnable),
Pytorch introduction (html),
Solutions
|
| 5/12 |
Kernels, Pytorch |
Section notes,
Kernels and more Pytorch (notebook runnable),
Solutions
|
| 5/19 |
Neural Networks |
Section notes,
Solutions
|
| 5/26 |
Convolutional Neural Networks |
Section notes,
Convolutional networks (notebook runnable),
Convolutional networks (html)
Solutions
|
6/1 |
PCA and SVD |
Section notes,
|