Comment by incomingpain
Comment by incomingpain 7 days ago
There's 2 big ones that I want to learn.
Quantum computer programming. I've dived a couple times into Qiskit from IBM. Also tried to get into dwave and ocean sdk but they never got back to me.
Qiskit tutorials are easy to blow through and i think even understand. But when trying to use it for my own purposes, just never get anywhere.
The other one for me with no success. Training my own specialized predicting AI models. Tensorflow, pytorch, and another.
I certainly prefer pytorch. Super simple to build models on simple stuff.
I'm trying to do something that literally nobody else has ever done. My lack of success has probably a lot more to do with that it's not perhaps actually doable.
Flipside, I might be re-approaching this now that i have the pycharm ai to help me in this progress.
>you've been there and figured out how to get past similar hurdles – please chime in! Share some helpful resources, dish out general advice, or just give a nudge of encouragement on how to take that intimidating first step.
Never be afraid to try. Always dare to fail; you only truly learn when failing. The easier you make it to fail, the quicker you learn.
My concern with quantum computing is there's already such an outrageous overabundance of quantum computing PhD's the marked will likely be saturated for decades to come. It would be a ton of fun to learn, but I can't justify the time because there's no career progression