What is Learning in Machine Learning?

Learning in ML is the process by which a model improves at a task by adjusting its internal parameters based on examples. Show a model thousands of cat photos labeled 'cat' and 'not cat', and it learns to recognize cats. The mechanism behind this — gradient descent — is the engine of nearly all modern AI.