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Mathematics for Machine Learning: Linear Algebra — Week 3
We have made it to week 3. It has been a fun process, though the autograder program seems to still have the same bug from week 2. That aside, the way they teach this course on Linear Algebra is wonderfully done and I can appreciate the amount of effort they put into choosing precisely how to present the material in an easy-to-understand way. Let’s dive right in!
What this week covered:
How to compute the inverse of a matrix.
What is a determinant?
How to use determinants to check if a matrix is invertible.
We built more on the foundations of week 1, in the ways we use vectors.
The problems that are given throughout this week help to build an intuition for how to look at data science through the lens of linear algebra. The problems are not too challenging, yet still make you think. While the focus of this course is not so much on Python programming, the assignments help to build your programming skills.
All in all, week three helped me build interest in week four. I look forward to writing about it soon!
Thank you for reading!
