Machine learning (ML)
Publication dates and source age
Sources counted: 2
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Open in the glossary Reading notes · Structured record
In plain language
A way to build software by learning patterns from examples. [1]
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Limits & distinctions
Learning can involve labeled examples, discovering patterns without labels, or feedback about actions. Neural networks are one family of machine-learning models. [1] [2]
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A fuller explanation
Developers provide data and a training method. The resulting model uses patterns in that data to make predictions or produce content. For example, an email filter can learn from messages labeled as spam or ordinary mail. [1]
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How it relates to the map
This helps separate learning from examples from writing each decision rule by hand. [1]
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https://theaiatlas.org/ideas/machine-learning/
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Sources and what we read
1. What is Machine Learning?
Publication dates and source age
Sources counted: 1
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read the introduction, model definition, supervised and unsupervised learning, and generative AI sections. Examples illustrate categories rather than measured accuracy. Updated date follows the page; initial publication is unspecified.
2. Neural networks: Nodes and hidden layers
Publication dates and source age
Sources counted: 1
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read the explanations of connected layers, numerical weights and biases, and calculations. Did not run the embedded exercises. Used for the mathematical structure, not a claim that an artificial network reproduces a human brain.
Edition and machine-readable evidence
Content version 0.20.0. Evidence cutoff 2026-09-15; this does not mean every source was read on that day.
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