AI

A hands-on deep dive into the most common category of practical machine learning: training models on labeled examples to predict categories or numbers. This is part 1 of the Applied Machine Learning track, building directly on the concepts introduced in Machine Learning Foundations. Meant for learners who already know what training data and a model are and are ready to see how real supervised systems get built, tested, and judged.