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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Standardization

Data & Datasets · Level 2 of 5

Standardization

Rescaling values using a reference mean and standard deviation.

Reference statistics should be fitted on training data and reused during evaluation.

Example

A feature is transformed by subtracting its training mean and dividing by its training standard deviation.

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Audio transcript

Standardization. Rescaling values using a reference mean and standard deviation. Reference statistics should be fitted on training data and reused during evaluation. For example: A feature is transformed by subtracting its training mean and dividing by its training standard deviation.

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This helps you prevent misleading experiments caused by data preparation and split mistakes.

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Put the terminology into context: How AI works · Machine-native representations · All learning paths

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