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AI / ML / Deep Learning Taxonomy

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About This MicroSim

This diagram clears up a common confusion by nesting three concentric circles: artificial intelligence is the broadest field, machine learning is a subset of AI, and deep learning is a subset of machine learning. Each ring is labeled with a healthcare example — rule-based clinical decision support (AI), readmission-risk prediction (ML), and tumor detection in medical images (deep learning) — so the relationship between the fields is concrete, not abstract.

How to Use

Read the circles from the outside in to see the containment relationship: everything inside is also a member of every circle that surrounds it, so every deep-learning method is machine learning and every machine-learning method is AI. Hover over any ring to read its definition in the side panel, and compare the healthcare examples to see how the techniques differ in approach while nesting in scope.

Iframe Embed Code

You can add this MicroSim to any web page by adding this to your HTML:

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<iframe src="https://dmccreary.github.io/modeling-healthcare-data/sims/ai-ml-taxonomy-healthcare/main.html"
        height="450px"
        width="100%"
        scrolling="no"></iframe>

Lesson Plan

Grade Level

9-12 (High School Geometry)

Duration

10-15 minutes

Prerequisites

TODO: List prerequisites.

Activities

  1. Exploration (5 min): TODO
  2. Guided Practice (5 min): TODO
  3. Assessment (5 min): TODO

Assessment

TODO: List assessment criteria.

References

  1. TODO: Add references.