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Glossary: Calculus for ML

Mean squared error (MSE)

Also written: MSE

The average of the squared errors over a dataset. Squaring makes every miss positive, punishes big misses most, and gives a smooth bowl with a clean gradient.

Where the book teaches it

Related terms

LossMean absolute errorSquared errorCross-entropy