In this video, W&B Deep Learning Educator Charles Frye and ML Engineer Scott Condron work through the rest of the linear algebra coding exercise notebook.
To try out the exercises yourself, head here: https://github.com/wandb/edu/tree/main/math-for-ml
For the first half of the linear algebra exercises, head here: https://www.youtube.com/watch?v=99QfjbX6uxg&list=PLD80i8An1OEGZ2tYimemzwC3xqkU0jKUg
Check out the other Math4ML videos here: http://wandb.me/m4ml-videos
00:00 - Teaser
00:16 - Intro
01:20 - Linear algebra as programming
03:11 - Exercise: Shape-checking as type-checking
05:39 - Exercise: Composing two matrices
08:52 - Exercise: Composing four matrices
13:38 - Matrix multiplication as a for loop
19:14 - Exercise: Matrices as batches of vectors
25:14 - Concatenating matrices as parallel programming
35:39 - Exercise: make_repeater
40:21 - The two views of matrices in ML
42:34 - Outro