Interview Q&A / Machine Learning

INTERVIEW Q&A · 55 QUESTIONS

Machine Learning interview questions

Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.

  1. What is semi-supervised learning, and when is it useful?

    Semi-supervised learning trains on a small labelled set plus a large unlabelled set. It helps when labels are expensive but raw data is cheap, for example medical scans or speech recordings.

    IntermediateQuick answer1 min read