How does machine learning differ from traditional rule-based AI?
Machine learning differs from traditional rule-based AI in how it processes information. Rule-based AI follows predefined rules set by programmers, making it rigid and limited to specific scenarios. In contrast, machine learning enables systems to learn from data, identify patterns, and improve over time without explicit programming. This allows machine learning to handle complex, dynamic problems where rule-based systems struggle. It adapts and evolves with new data, making it ideal for tasks like image recognition, recommendations, and fraud detection. To gain deeper insights into this field, consider enrolling in a machine learning course.
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Fatima Shah commented
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