Two further videos from my Machine Learning Foundations series out today! Both cover techniques for solving systems of linear equations algebraically:

The first video (and 16th topic in the series overall) introduces substitution for solving linear systems by hand.
The second video (17th topic in the series) uses elimination, which comes in handy in other situations where we'd like to solve linear systems by hand.

These videos wrap up Segment Two, "Common Tensor Operations". They set us up perfectly for Segment Three, "Matrix Properties", in which we'll cover computational approaches to solving linear systems.

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