Data, Algorithms, and Models

Lesson goals

• Data represents real examples
• An algorithm defines learning
• A model stores learned patterns

Core idea

The three building blocks behind most machine-learning systems.

1. Data represents real examples: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. An algorithm defines learning: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. A model stores learned patterns: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Data, Algorithms, and Models.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Data, Algorithms, and Models” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?