A subset of AI where algorithms improve their performance on tasks by learning from data rather than being explicitly programmed.
Teaching a computer by showing it lots of examples instead of telling it exactly what to do.
A way computers learn patterns from data instead of following hard-coded rules — like how you get better at a video game by playing more.
A subset of AI where algorithms improve their performance on tasks by learning from data rather than being explicitly programmed.
Statistical methods that enable systems to learn from data, identify patterns, and make decisions with minimal human intervention. Includes supervised, unsupervised, and reinforcement learning paradigms.
The study of algorithms that optimize a performance criterion using example data or past experience — encompassing PAC learning, empirical risk minimization, kernel methods, and deep parametric function approximation.
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