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Multiple Choice

Which technology is a subset of AI that uses statistical techniques to enable computers to learn from collected data?

Learning from data through statistical methods is what defines machine learning. This approach lets computers build models from collected examples, so they can make predictions or decisions on new data without being explicitly programmed for every scenario. That fits the description precisely, and it sits within artificial intelligence as the broader field that aims to replicate intelligent behavior. Other options aren’t as fitting: data mining is about uncovering patterns and insights in large datasets, not primarily about building predictive models; neural networks are a specific technique used within machine learning rather than the general idea itself; artificial intelligence encompasses many non-learning methods as well.

Learning from data through statistical methods is what defines machine learning. This approach lets computers build models from collected examples, so they can make predictions or decisions on new data without being explicitly programmed for every scenario. That fits the description precisely, and it sits within artificial intelligence as the broader field that aims to replicate intelligent behavior. Other options aren’t as fitting: data mining is about uncovering patterns and insights in large datasets, not primarily about building predictive models; neural networks are a specific technique used within machine learning rather than the general idea itself; artificial intelligence encompasses many non-learning methods as well.