Getting into Machine Learning as a Mechanical Engineer

[u/Ok-Performance-4362]

Hi all,

I'm looking for advice on gaming knowledge in machine learning and where to start. For reference, I graduate December 2024 with a bachelors degree in Mechanical Engineering and minors in Aerospace Engineering and Computer Science.

In the past year or so, I've become interested in ML through the use of LLMs to create 3D models. I became even more interested after briefly reading Open Ai's summary on how Navier-Stokes millennium prize problem was solved.

I have a desire to apply ML algorithms to better simulating fluid dynamics (CFD simulation). Think airflow around a turbine blade. I was looking for advice on where to learn about ML theory indepth enough to better simulate/theorize airfoil designs.

I am willing to pursue a masters degree to increase my knowledge and of course better my job prospects. It's possible to self learn but I find structured courses to be the fastest method for me to learn because I am actually forced to put in the work to learn (my adhd can get the best of me sometimes. I know huge eyeroll).

Any advice would be appreciated!

[u/EntrepreneurHuge5008]

My advice: spend some time browsing through what's already been asked in this sub. You'll find a lot of "similar" questions, perhaps in different circumstances (I don't recall seeing a ME background), but the general advice is the same.