© Tobias Baer 2019
Tobias BaerUnderstand, Manage, and Prevent Algorithmic Biashttps://doi.org/10.1007/978-1-4842-4885-0_21

21. How to Marry Machine Learning with Traditional Methods

Tobias Baer1 
(1)
Kaufbeuren, Germany
 

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 ...

Get Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.