Learning Pathway Pt 2: Datasets, Hands-on, ML libraries, ...

(Nothing to do with ChatGPT)

This is ‘part 2’ in this ‘zero to hero’ series — you can find ‘part 1’ here.

While there are plenty of projects and tutorials out there for mainstream machine learning, there are of course orders of magnitude less for our niche little world of engineering simulation. I’d like to use this section to point you in the right direction with helpful engineering datasets, projects, libraries to use, and similar educational resources. In general, I think these resources enable you to get started on some introductory projects which should lead to things you can put on your resume (with a bit more work). I will bleed this over into ‘part 3’ to continue sharing of datasets/code/projects (after getting feedback that more bite-size posts are preferred to mini-novels).

I find that while publishing your research work is obviously a great way to have things available to show/talk to recruiters/hiring mangers about, however the cost associated with publishing, traveling, and attending conferences is often high enough to be prohibitive for individuals paying out of pocket. I hope these projects can help you gain experience (for free) while leading you to more advanced projects, and perhaps adding things to your portfolio website.

Datasets you can use, projects you can pickup, public codes available to play with, relevant AI/ML libraries, et cetera et cetera. Let’s jump in.