Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
Prefer rapid revision? Practise Machine Learning short interview answers →
- How does reinforcement learning work? Explain agent, environment, reward and policy.
An agent takes actions in an environment, receives a reward and a new state, and learns a policy (a rule for choosing actions) that maximises total reward over time. It learns by trial and error, not from labelled examples.
BeginnerQuick answer1 min read