Which statement best describes Machine Learning?

• A. Learn from data without being explicitly programmed.
• B. Simply store data without processing.
• C. Encrypt data using probabilistic keys.
• D. Hard-code decision rules for all scenarios.

Answer: (A)

Machine learning involves extracting patterns and improving performance by learning from data rather than following explicit instructions. Algorithms analyze data, adjust a model’s parameters, and make predictions or decisions based on what was learned, allowing the system to improve over time without being explicitly programmed for every situation. This is why learning from data without being explicitly programmed is the best description: knowledge comes from data and experience, not from hand‑coded rules. The other ideas don’t fit because storing data without processing isn’t learning, encrypting data is about cryptography, and hard‑coding rules for all scenarios prevents adapting to new, unseen cases. ML aims to generalize from examples and improve as more data becomes available.