A machine learning model has no opinions. It has gradients. So when a hiring model quietly downgrades every resume that …
Abhay
4 min read
Imagine you build a model to detect a rare disease that shows up in 1% of patients. You hit the green button, and your …
Abhay
4 min read
Suppose you want to build a classifier that tells apart 200 species of moths, and you have exactly 1,400 photos. Train a …
Abhay
4 min read
There is a machine learning algorithm that makes an assumption so wrong it has the word “naive” baked right …
Abhay
4 min read
Picture this: you build a fraud detector, run it on a million transactions, and it scores a glorious 99.8% accuracy. You …
Abhay
4 min read
Most machine learning is taught with flashcards. You show the model a photo labelled “cat,” it guesses, you …
Abhay
5 min read
Imagine stacking ten layers of neurons, training for hours, burning through GPU credits — and ending up with something …
Abhay
4 min read
Ask a classifier “what’s in this photo?” and it answers, confidently, “a cat.” Helpful. …
Abhay
4 min read
There’s a seductive myth in machine learning: that the path to a better model runs through a fancier algorithm. …
Abhay
5 min read
Imagine a dataset with a thousand columns. Customer records, gene expression levels, pixel intensities — pick your …
Abhay
5 min read