In my opinion, this book would not be complete without mentioning the topic of bias in machine learning.
As we give the ability to computers to generate predictions and rely on them in production applications that people will interact with, it is essential to spend some time thinking about the consequences and impact of using this technology.
In this last chapter, we are going to talk about the different types of biases, why this is an issue and what can be done to minimize it in our machine learning systems.
7.1 What is bias?
If we refer to the definition from ...
