My understandings pt1: Explainability points to human understanding on the structure of a system and why it is working that way. Interpretability points to how well we understand the functioning of the system purely.
XAI is an umbrella term here! Correct me if I’m wrong here. #machinelearning #datascience #ai

*Writing an #introduction makes e question everything I've done in life.*
Here goes: Im Kartik, a Machine Learning engineer previously and a research scientist more recently. I enjoy ranting about robots and algorithms in general.
Looking to grow the #machinelearning community here! A huge fan of anything from politics to climate change to computer science in general! #opensource ftw.
This platform does feel a lot like freedom to me.
#introductions

I moved here because of the fediverse. Wondering when this concept will explode! #musk just did it with the exodus on #twitter! Haha

Imagine trying to figure out a problem without fully understanding why your solutions aren't working for years together. That's most of the #machinelearning industry today. It's an absolute pity that model explainability is still NOT a part of a standard process. #XAI we need you.

Step 1: grow the #machinelearning network here

Seems like a great platform to geek out on Machine Learning,
Feels a lot like talking to a wall right now though.