[DoingIsLearning]

Ok since we are at it, in your opinion:

Is it feasible for someone with a SWE background with fair amount of industry years to transition into ML without a deep dive into a PhD and publications to show?

I am considering following the fastAI course or perhaps other MOOC courses but I am not sure if any of this would be reasonably taken seriously within the field?

[wegfawefgawefg]

It is reasonable. If you have time and are willing to put in the effort I can forcefeed you resources, and review code and such. I've raised a few ML babies. Mooc are probably the wrong way to go. Thats where i started and I got stuck for a while. You really need to be knee deep in code, and a notebook.

As for getting jobs I cant help you with that part. You'll have to do your own networking, etc.

[e-mail] Shoot me an email if your serious lets schedule a call.

[DoingIsLearning]

Just emailed you. Thank you.

[jeremiahbuckley]

I asked a friend of mine @ google about what-next in ML the other day, and they recommended this post from a friend of theirs. I'm not sure I'd follow it end-to-end (like many things chatgpt it's an unknown 70-90% on target) but it's definitely identified some resources I didn't know about. https://www.linkedin.com/feed/update/urn:li:activity:7150542...

wegfawefgawefg - I bookmarked this and worked through it more carefully when I had time, I appreciated the learnings.