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Supervised Learning
Supervised learning is a machine learning paradigm where an algorithm learns from a dataset of labeled examples, meaning each input has a corresponding correct output. The algorithm tries to find patterns and relationships between the inputs and outputs, effectively learning a mapping function. Once trained, it can then predict outputs for new, unseen inputs.
In plain terms
It's like teaching a child to identify animals by showing them pictures of cats labeled 'cat' and pictures of dogs labeled 'dog'.
Why it matters
It's a foundational method for solving many predictive tasks like classification and regression, which are common in real-world applications.
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