Feature Engineering for AI: Common Techniques, Practical Examples, and Real-World Tips
You’ve probably heard “garbage in, garbage out.” True, but incomplete. In AI, the real problem typically appears as follows: raw data is input, and average results are output. That gap between average and excellent is a result of AI feature engineering. It doesn’t get the spotlight. It doesn’t sound flashy. But feature engineering is often […]