Machine learning is a method where you show a system many examples of input and output, and it discovers patterns to predict new inputs without explicit programming. It works best when patterns are consistent and invisible to human intuition, and fails spectacularly when it copies the blind spots in your training data.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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