Supervised Machine Learning A subset of machine learning where algorithms learn from a preexisting labeled data set where both the input and desired output are provided.

Machine learning models, in turn, are trained largely through supervised or unsupervised learning, depending on the presence of labelled input and output data in a dataset.

Common in machine learning, overfitting makes a system that knows its training data but can't predict patterns in new data.

Discover the key differences between machine learning and generative AI. Learn how each technology works, their applications, and their impact on industries worldwide.