A system that learns patterns from data to make: Which description best characterizes a machine learning

Machine learning is defined by its ability to learn patterns from data to make predictions or decisions, unlike purely rules-based programs.

The question

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1. A system that learns patterns from data to make predictions or decisions, rather than following explicitly pre-written rules. ✓

   Correct. Machine learning is defined by learning patterns from data instead of relying solely on hand-coded rules.
2. A system that executes a fixed set of human-written if-then rules and produces the same output for identical inputs every time.

   Plausible, but this describes a traditional deterministic rules-based program, not a machine learning system.
3. A system that stores structured records in relational tables and returns them in response to precise database query statements.

   Incorrect; this describes a database management system, which retrieves data rather than learning predictive patterns from it.
4. A system that renders interactive graphics and manages user input events for a real-time on-screen application interface.

   Incorrect; this describes general application software and has nothing to do with learning from data.

How to remember it

Machine learning is defined by its ability to learn patterns from data to make predictions or decisions, unlike purely rules-based programs.

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