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So far, this course has focused on building machine learning (ML) models.
However, as Figure 1 suggests, real-world production ML systems are large
ecosystems and the model is just a single, relatively small part.
At the heart of a real-world machine learning production system is the ML
model code, but it often represents only 5% or less of the total codebase in
the system. That's not a misprint; it's significantly less than you might
expect. Notice that an ML production system devotes considerable resources
to the input data: collecting it, verifying it, and extracting features from it.