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How AI Learns: Core Concepts

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How AI Learns: Core Concepts
 

Crossword Puzzle

How AI Learns: Core ConceptsOnline version

Key terms and definitions on AI learning

by Daniela Usmiani
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A learning paradigm where agents improve actions based on rewards from the environment.

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A learning approach using labeled data to map inputs to targets.

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Learning from unlabeled data to find structure or patterns.

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A mathematical slope used in optimization to adjust parameters, usually via descent methods.

5

A computational model inspired by brain neurons that processes information through layers.

6

Efficiently computing error signals to update weights in multi-layer networks.

7

When a model performs well on training data but poorly on unseen data due to capturing noise.

8

Techniques to reduce model complexity and prevent overfitting.

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