Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to (both single-hidden-layer and multi-hidden-layer) feedforward neural networks, RBF networks, and kernel learning. ELM possesses unique features to deal with regression and (multi-class) classification tasks. Consequently, ELM offers significant advantages such as fast learning speed, ease of implementation, and minimal human intervention.