Multiclass classification is the task of categorizing instances into three or more classes, while binary classification involves classifying instances into two classes. Some algorithms naturally support multiclass classification, while others are binary but can be adapted to handle multiple classes. It is important to distinguish multiclass classification from multi-label classification, where multiple labels are assigned to each instance.
Princeton University
Fall 2017
A thorough introduction to machine learning principles such as online learning, decision making, gradient-based learning, and empirical risk minimization. It also explores regression, classification, dimensionality reduction, ensemble methods, neural networks, and deep learning. The course material is self-contained and based on freely available resources.
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