It is important to remember that ML is not a solution for every type of problem. There are certain cases where robust solutions can be developed without using ML techniques. For example, you don’t need ML if you can determine a target value by using simple rules, computations, or predetermined steps that can be programmed without needing any data-driven learning.
CITATION STYLE
Baer, T. (2019). When to Use Machine Learning. In Understand, Manage, and Prevent Algorithmic Bias (pp. 209–213). Apress. https://doi.org/10.1007/978-1-4842-4885-0_20
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