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Why we fail with machine learning, and how to avoid it.
With 53-90 of project failure, chances are each of us will be confronted to it. If making mistakes is part of the journey, let’s at least learn how to avoid some common ones.
Stop obsessing about a perfect model
A perfect model is often an illusion because of the ratio effort / impact, Model Quality Decay and Prediction Window. To be pragmatic, we should focus on models that are quick to update and implement.
Let’s stop misleading our users with meaningless classification rates!
So, you think AI classifies well? How we end up misleading AI users about the efficiency of classification models
TIMi is committed to more responsible digital technologies
On Earth Day, this April 22, 2021, TIMi has signed the Responsible Digital Charter for a more environmentally friendly, ethical and inclusive digital.