Google. Amazon. Microsoft. Netflix.
300+ real ML system design case studies from ~80 companies.
I found a repo that breaks down how production ML systems are actually built.
If you’re serious about ML, data, or engineering leadership, studying why systems were designed a certain way is one of the highest-ROI skills you can develop.
Take a look.
Save it. Learn. Repost.
You’ll thank yourself later.
(I will put the repo link in the next tweet)