Final videos of "Data Structures for Algebra" segment of ML Foundations

The final videos from the first segment of my Machine Learning Foundations series, Data Structures for Algebra, are out today:

• Video 8 in the series is on matrix tensors.
• Topic 9 is Generic Tensor Notation.
• And the tenth video is a quick one that provides three comprehension questions on the content covered thus far.

In the second, forthcoming segment of the ML Foundation series, we'll move from primarily creating static tensors to interacting with them via common tensor operations.

The playlist for the entire series, which will consist of 30+ hours of videos, is here.

These particular videos feature hands-on demos in PyTorch and TensorFlow, and all of the code is in GitHub.

Superb editing from Sangbin Lee, as always. Thank you!