6
Stabilizing the Machine Learning System
In the last two chapters, we went over the different concepts in machine learning and how we can create a comprehensive machine learning system pipeline that can work and adapt to our needs.
While our pipeline can address our expectations, it is important for us to be able to maintain our system in the face of external factors to which it may be hard for the system to self-adjust.
In this chapter, we will discuss the phenomenon of dataset shifts and how we can optimize our machine learning system to help address these issues while maintaining its functional goal without having to rebuild our system from scratch.
We will be going over the following concepts:
- Machine learning parameterization and dataset ...
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