Location: Western Europe (EU).
Remote: Yes/Enjoy in-office but remote preferred if possible.
Willing to relocate: Open to discuss.
Technologies: Focused on Machine Learning Python based frameworks/libraries as TensorFlow and NumPy.
I have experience as well in Full-Stack development mostly in React/Node/MondgoDB.
Résumé/CV: Please request via email. You can find some of my work/code on github.com/carmezim.
Email: hackernewshire@gmail.com
Based on your reasoning PyTorch is copying TensorFlow static optimizations and production capability with JIT and ONNX then? I've seen many folks requesting an imperative API.
You can't please everybody, as if they listen or not to users people still complain.
If both are making effort to improve themselves though, the community has only to benefit from this competitiveness.
This is true, a lot of short term "friends" you make along the way but a few days later each one goes their way and also it becomes a bit of a repetitive process and can be quite exhausting. It'll depend on your personality mostly but for an introspective it can get tiring. Helps if you visit friends/family from time to time.
A priory it seemed really ideal to use Go and React so that's good to know. That issue is something I'd hardly find out to happen if just looking up online, thanks for sharing.
A little not so related question, what is/are the most used stack for web applications in Go? How common if at all would be a Go backend & React for instance frontend stack?
You and some other folks seem to be oblivious on how H1-B works and this bill itself. You need to have 12 years of working experience OR bachelors degree OR a mix of both for H1-B eligibility.
Regarding students (PhDs or anyone on F-1 visa), they will get straight path to permanent residence.
Each one has his/her pace and level, you need to find yours. There is a pletora of tutorial/courses available with a practical approach if you will.
If you know your math see The Deep Learning book for instance (which covers from math basics to current approaches).
Andrej K. also has a course focused on CV but covers the most important concepts of DL and CNN, RNN. DL/ML is nothing more than math afterall and a nontrivial subject, rather highly specialized so if you're in the rain is to get wet.
disappointing seeing those folks getting into this joke. author obnoxious to say the least. More a thing to say "I am over the hype, look how cool I am" than criticize and point out lack of understanding from lay people or tendency to quick adopt machine learning technologies for the sake of this term's cutting-edge idea that it carries.