Classification
Classification in AI involves categorizing data into predefined labels, enabling tasks like spam detection and image recognition.
Classification is a type of supervised learning task where an AI model assigns input data to one of several predefined categories or labels. Common examples include spam email detection, image recognition (e.g., identifying cats or dogs), and medical diagnoses. Classification algorithms such as Decision Trees, k-Nearest Neighbors, and Support Vector Machines help categorize new data based on learned patterns.