Comment

Comment by softwaredoug

The "model" is the boring part of ML.

ML isn't deep learning or not deep learning. It's fundamentally to me about a statistical formulation of a business problem.

It's how you would evaluate ML, formulate business tasks into an objective function, understand and develop training data, and what the features actually measure what’s important in the domain.

Discussion

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton