Fundamentals of AI and ML
Practise only this domain. 33 questions with explanations, 20 at a time.
Start fundamentals of AI and MLSample questions
- A manufacturer streams vibration readings from its pumps. Nearly all readings are normal, and the team wants to flag rare readings that deviate sharply from typical behavior. It has no labeled examples of failures. Which kind of task is this?Medium
- A manufacturer wants a model that inspects photos of circuit boards on a production line and flags visible solder defects. Which neural network architecture is best suited to this task?Medium
- A clinic has only a few hundred labeled X-ray images for a model that flags a rare condition. Which technique creates more varied training examples without collecting new scans?Medium
- A credit-scoring model's production inputs have gradually shifted away from the sample it was trained on, so its predictions are becoming less reliable. What is this phenomenon called?Medium