How much linear algebra is enough for ML career in industry?

Hello everyone. I’ve done Calc I & II and completed these linear algebra topics (see image above ↑).

So…is this level of math already enough for ML internships/entry level jobs? Or are there other topics (probability, optimization, etc.) I should prioritize too?

Also, which of these linear algebra topics are actual workhorses in ML, and which are more “academic decoration”?

Would love to hear from people who’ve gone through this path and can separate “must-have” from “nice-to-have” when it comes to the math. 🙏