Algorithms, plus the ML-specific coding rounds — implement k-means, write attention, vectorize this.
10h · 7 lessons · 1 challenge
Before this: Python for ML Engineers
ML engineers get two kinds of coding round: the standard algorithms one, and the ML implementation one where you write attention or k-means on a whiteboard. Most candidates prepare only for the first.
This module covers both, with the implementation drills built from the code you already wrote in the deep learning and transformer tracks.
An empty editor and a name: attention, k-means, backprop, beam search. Fifteen minutes each. The tests decide.
Worth 600 XP.
