Machine Learning
Systems that learn patterns from data to make predictions without being explicitly programmed.
Machine learning is a subset of artificial intelligence in which algorithms detect statistical patterns in training data and apply them to new inputs, without a developer coding explicit rules for every decision. On the AIF-C01 exam, ML underpins nearly every AWS AI service: Amazon SageMaker provides the managed environment for building, training, and deploying custom models, while pre-trained services like Amazon Rekognition (vision) and Amazon Comprehend (NLP) expose ML through APIs. Unlike rule-based systems, ML generalizes from examples but needs sufficient, representative data. Watch for questions on choosing a custom SageMaker model versus a ready-made AI service.
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