Question

AI, Machine Learning, and IT Careers Unit Test 18 of 2018 of 20 Items 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.(4 points) Short Answer Rubric (4 points) Points Awarded Criteria 4 The answer is very clear. The answer is fully supported by details. There may be a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 3 The answer is mostly clear. The answer is supported by mostly relevant details. There are a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 2 The answer is somewhat clear. Details are weak or not related. There are some errors in grammar, usage, and mechanics. Errors interfere with meaning. 1 The answer is not clear. There are few or no supporting details. There are many errors in grammar, usage, and mechanics. Errors interfere with meaning. 0 The question is not answered. Skip to navigation page 1 of 1

Answer 1

The major difference between expert systems and machine learning is that expert systems rely on predefined rules and knowledge bases created by human experts, while machine learning algorithms learn from data and identify patterns without explicit programming. Expert systems are preferred in situations where clear, established rules and domain expertise exist, such as medical diagnosis or troubleshooting, as they can provide predictable and consistent outcomes. Conversely, machine learning is preferred in scenarios with large datasets and complex patterns, such as image recognition and natural language processing, where explicit rules may be difficult to define. Each approach has unique strengths that make it suitable for different applications.