© Tobias Baer 2019
Tobias BaerUnderstand, Manage, and Prevent Algorithmic Biashttps://doi.org/10.1007/978-1-4842-4885-0_4

4. The Model Development Process

Tobias Baer1 
Kaufbeuren, Germany

In the previous chapter, you saw how an algorithm works. In this chapter, I will review how an algorithm is developed; this obviously is hugely helpful in understanding the many ways biases can creep into algorithms. Also, seasoned data scientists may want to briefly glance at this chapter so that they are aware of my mental frame and terminology since I will be referencing both frequently going forward. One note on terminology: with the advent of machine learning, a whole new vocabulary has been introduced (e.g., observations have become instances, dependent ...

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