I started DataXplore as a personal learning library.

Whenever I came across something worth understanding, a useful paper, an interesting ML concept, a production problem, a new technique or a deeper explanation of how AI systems actually work, I kept it there.

Over time, that personal library started becoming something bigger.

You'll find things around ML & DL, Gen AI & LLMs, RAG and AI systems, Data Science concepts, Production ML problems, Technical deep-dives, Research papers & useful resources, Practical ideas worth revisiting

This isn't a channel built around chasing trends, views or daily posting. It's simply a place to learn, explore, document and build a useful collection of knowledge over time.

If you're learning Data Science, ML, AI or just like going down technical rabbit holes, you might find something useful here.

Welcome to @DataXplore

— Prem