The Tradeoff Between Complexity and Ground Truth in AI: What You Need to Know

For data scientists, ground truth is the holy grail. If we think of AI as software that is taught with examples, instead of instructions, then selecting the right examples is critical to building a system that performs well.

This is the data of record that reflects verified examples of the correct outcome. Ground truth assumes:

1. There is only one record for a given example.
2. We have some definition or rubric that is universally applied. For example, when an image …

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