Question

When comparing expert systems to machine learning, what is the major difference, and when is one preferred over the other? Explain your answer in 3-5 sentences in a highschoolers words.(4 points)

Answer 1

The major difference between expert systems and machine learning is how they learn and make decisions. Expert systems rely on rules created by human experts, meaning they follow specific guidelines to solve problems. In contrast, machine learning systems learn from data and examples, improving their performance over time without needing fixed rules. Expert systems are preferred when the problem is well-defined and stable, while machine learning is better for complex problems where patterns can change, like in predicting trends or recognizing voices.