Analytical Skills for AI and Data Science by Daniel Vaughan

Analytical Skills for AI and Data Science by Daniel Vaughan

Author:Daniel Vaughan [Daniel Vaughan]
Language: eng
Format: epub, pdf
Publisher: O'Reilly Media, Inc.
Published: 2020-07-24T16:00:00+00:00


Figure 2-15. Sections of the London underground maps. Left panel corresponds to the official tube map. Right panel shows a more realistic version of the same section.

This last point takes me to another related issue: one common simplification technique is to divide a complex problem into simpler subproblems that can each be tackled independently; something that computer scientists call the Divide and Conquer technique. When each of these subproblems gives rise to some uncertainty, nothing guarantees that the resulting uncertainty after aggregation becomes more tractable (unless we impose some simplifying assumptions to start with).

The moral of this story is that we should always remember that simplifying a problem usually brings additional uncertainty to the table. As Box, the statistician, complemented “(…) the approximate nature of the model must always be born in mind”.11



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