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?