February 2018
Intermediate to advanced
378 pages
10h 14m
English
Ben Hamner, a data scientist at Kaggle, referred to common machine learning gotchas as ML gremlins.
I like the metaphor because it makes my brain think about evil characters rather than some vague, abstract concepts. In addition to the original gremlins presented by Ben, I want to add several of my own and also present a taxonomy of gremlins (see the following diagram). I employed this metaphor throughout this chapter to avoid boring issues and problems when discussing how to identify and neutralize those pests:

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