Published by Christer Holloman on Forbes, this article explores the evolution of AI from rigid, rule-based systems to adaptive machine learning models. Think of it like a student learning from feedback: for example, spam filters now learn from millions of data points to block unwanted emails more accurately. It offers insights into how data science is reshaping decision-making in industries.

Q&A

  • What distinguishes rule-based AI from machine learning?
  • How does democratization impact AI adoption?
  • What metrics measure machine learning performance?
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