Getting better and better at the wrong things.
Real-World Consequences of Machine Learning
When you start practicing AI and machine learning, you’re probably backed up by a great team or an expert guide who’s really good at putting complex models together. But the tricky part isn’t just building the models; it’s figuring out how well they’re doing their job. You might find yourself asking, “Is the model doing what we want it to do? Are the results what we expected?”
Evaluating machine learning models isn’t just a techy job given to your team of engineers. You might think you’re done once you’ve got a few metrics in front of you, but that’s just the tip of the iceberg. In this chapter, I want to stress that the real ...
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