Supervised Learning
Supervised learning is a machine learning paradigm where an algorithm learns from a dataset of input-output pairs. The 'supervisor' is the labeled data, providing the correct answer for each input. The model's goal is to learn a mapping function from inputs to outputs so it can accurately predict outputs for new, unseen inputs. This is fundamental for tasks like classification and regression.
It's like teaching a child to identify fruits by showing them pictures and telling them 'this is an apple' or 'this is a banana' until they can identify new fruits on their own.
It's the backbone for countless predictive AI applications, from spam detection to medical diagnosis.
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