# Foundations of Learning

Canonical: https://manyspace.aporia.systems/subjects/ai/foundations-of-learning-82
Updated: 2026-10-13

Foundations of Learning: about 8 hours. Each topic lists what you need first and what it unlocks.

## Orientation

- [What Is a Model?](https://manyspace.aporia.systems/topics/what-is-a-model-aiml-fnd-001)
- [Learning from Data](https://manyspace.aporia.systems/topics/learning-from-data-aiml-fnd-002)
- [Tasks: Regression, Classification, and Beyond](https://manyspace.aporia.systems/topics/tasks-regression-classification-and-beyond-aiml-fnd-003)

## Learning Framing

- [Features and Targets](https://manyspace.aporia.systems/topics/features-and-targets-aiml-fnd-004)
- [Datasets and Splits](https://manyspace.aporia.systems/topics/datasets-and-splits-aiml-fnd-005)
- [Generalization Preview](https://manyspace.aporia.systems/topics/generalization-preview-aiml-fnd-006)
- [Framing an ML Problem: Objectives, Baselines, and Proxies](https://manyspace.aporia.systems/topics/framing-an-ml-problem-objectives-baselines-and-proxies-aiml-fnd-007)
- [Learning Paradigms: Where the Supervision Signal Comes From](https://manyspace.aporia.systems/topics/learning-paradigms-where-the-supervision-signal-comes-from-aiml-fnd-008)