markha

Greg Brockman's blog[1] has few links on how he picked up ML. Another link at [2] describes the path Michal(blog's author) followed (though it's aligned to "how i got into ..."). Both these blogs walk through how they were able to get into the ML bits of things. They have bunch of links (ex: [3]).

I think it'll help if you can get a job at a company who's main focus is ML, you'll talk to folks who are doing research or solving problems using ML, you'll learn. If not, i hope these links help as folks there (people way smarter than me, a swe) had similar question and documented the steps they took to reduce the gaps in their understanding.

[1] - https://blog.gregbrockman.com/how-i-became-a-machine-learnin... [2] - https://agentydragon.com/posts/2023-01-11-how-i-got-to-opena... [3] - https://github.com/jacobhilton/deep_learning_curriculum

This seems to be the case in bay area too. The person delivering the food is not the same person in the DoorDash app. It used to be rare before but not anymore. (sample size of 1, as recent as 2 days ago).

How about https://www.meity.gov.in/writereaddata/files/Intermediary_Gu...

Keep scrolling for the English translation

Ref: https://www.meity.gov.in/content/gazettes

> I wonder if school credit could be negotiated for that.

Bingo. Unpaid internship for a USC student will put you in $1800 debt (1credit == ~$1800)

Faced the same. Then I un-liked all the pages (some chrome add-on), un-followed few groups and the feed is much better. Finally I can see humans and not just news/meme