Preparing Practice Exam…
Please wait a moment while the system generates the exam questions, answers, and study session.
Please wait a moment while the system generates the exam questions, answers, and study session.
Question 13 of 39
Free Preview · 39 of 128 · questions 1–39 of 128 are free. Sign up free to sync your progress across devices.
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
- Supervised learning uses datasets where each input has a known correct output (label). Examples include classification (spam vs not spam) and regression (predicting house prices). Unsupervised learning works with unlabeled data (e.g., clustering). Reinforcement learning trains via rewards and penalties based on actions taken in an environment. Self-supervised learning generates labels from the data itself, often used in foundation model pretraining.