Your model finished training. Accuracy: 94%. You lean back, satisfied. Then it meets real data and falls apart like a …
Abhay
4 min read
Your model just denied someone a loan, flagged a tumour, or rejected a job application — and when the person asks …
Abhay
5 min read
Every machine learning project eventually hits the same wall: the model is hungry, and you are out of data. Labelling …
Abhay
4 min read
Your classifier spits out a number between 0 and 1. To turn that into a yes/no answer, you pick a threshold — say, 0.5 — …
Abhay
4 min read
There’s a moment in every machine learning project where you stop modelling and start fiddling. Should it be a …
Abhay
4 min read
Picture a school gym at the start of a dance class. The teacher claps and shouts, “Everybody, form three …
Abhay
4 min read
Three little words trip up almost everyone learning deep learning: epoch, iteration, and batch size. They sound like …
Abhay
4 min read
Somewhere along the way, “AI” and “deep learning” became the same word in most people’s …
Abhay
4 min read
You open Netflix to watch one specific thing, and forty minutes later you’re three episodes into a Korean baking …
Abhay
5 min read
Let’s clear up the worst-named algorithm in machine learning right away: logistic regression does classification, …
Abhay
4 min read