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MustachedLobster t1_j46hfdz wrote

Slam exactly fits the definition of ml.

The more data you give it, the better the map gets, and the better we expect localisation to be.

It has no generalisation at all, but it is learning something very specific about a particular environment.

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chief167 t1_j46k3aa wrote

Slam is pure Mechatronics which I don't consider ml.

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MustachedLobster t1_j47oa1s wrote

It exactly matches Mitchell's definition of ml though.

> A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.

https://towardsdatascience.com/what-is-machine-learning-and-types-of-machine-learning-andrews-machine-learning-part-1-9cd9755bc647#:~:text=Tom%20Mitchell%20provides%20a%20more,simple%20example%20to%20understand%20better%20.

Localisation error decreases the more data you have.

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