Hello!

I’ve been tasked with designing a beginner’s program to Machine Learning at work. The target crowd is a bunch of QuantFin professionals – so pretty adept with Stats and Programming.

Again, the target is to get them familiarized with the math behind and rationale for various techniques – rather than teaching them to code out, let’s say a Random Forest from scratch.

The reason being that, in our line of work, it’s completely okay to use a package, and it’s okay if you’re not making significant improvements to the method in itself. It’s more about acclimatizing them to the various techniques out there, so that the next time they come across a problem, they have a fair idea of what direction they can look in. I’m looking at a 40 hour programme, that eventually gives them some understanding of the underlying math and common applications

What are some topics that this forum thinks should be a part of such an effort?