When given a choice between keeping a cake and eating it too, I always try to find a way to do both. And I did succeed with that in the realm of machine learning!
You may have been surprised, maybe even upset, by the negative tone I took on machine learning in the previous chapter. This is not for lack of respect and admiration for machine learning—all I wanted to do was open your eyes to the limitations of machine learning. Giving machine learning tools to a data scientist who is not skilled in managing the risks of algorithmic bias ...
