AI and machine learning applications
Lesson 3 / 6
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I can justify the use of artificial intelligence (AI) to solve a problem.
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Machines can be called artificially intelligent if they can "learn" from, and adapt to, new data.
AI systems are data-driven and make predictions based on patterns in large amounts of existing data.
AI systems can "learn" by adapting the way they find patterns.
Data-driven systems are different from rule-based systems, which make decisions based on fixed rules provided by humans.
Data-driven systems are useful for solving complex problems where rules are too difficult or time-consuming to write.
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This content is by Cashar and published under an open licence.