thecode_envoy's profile picture. Ideas → Experiments → Projects : Learn & Repeat | Building and learning along the way

Asad Sagheer

@thecode_envoy

Ideas → Experiments → Projects : Learn & Repeat | Building and learning along the way

This pretty much summarizes ML engineers🌚

thecode_envoy's tweet image. This pretty much summarizes ML engineers🌚

There shouldn't be CORS when both, server and client, are on the same machine

Why is there CORS on localhost 😖

lingodotdev's tweet image. Why is there CORS on localhost 😖


Not every day has to be productive, some days are just for resetting your mind, recharging, and quietly leveling up for what’s next.


Procrastination is just your future self testing how patient they really are.


Notice your training accuracy is skyrocketing but validation accuracy is flat or dropping? That’s overfitting which means your model is memorizing the training data instead of learning patterns that generalize. Time to regularize, simplify, or get more data.


Overfitting is just your model’s way of ghosting reality.


Training a model without cleaning your data is like cooking a gourmet meal in a dumpster.


Discipline hits different when motivation dies.


Some days you’re the bug, some days you’re the windshield, just keep flying.


Overfitting? Not on my watch😎

thecode_envoy's tweet image. Overfitting? Not on my watch😎

My model mirrors an AI-assisted student, achieving 100% on training yet underperforming on validation. Moral of the story: true comprehension outshines memorization in effective learning.

thecode_envoy's tweet image. My model mirrors an AI-assisted student, achieving 100% on training yet underperforming on validation.
Moral of the story: true comprehension outshines memorization in effective learning.

United States 트렌드

Loading...

Something went wrong.


Something went wrong.