The Perceptron Algorithm and the Kernel Trick

The Perceptron Algorithm, a foundational machine learning model from 1958, introduced key concepts like iterative weight updates and activation functions. While limited to linear classification, it paved the way for modern neural networks and support vector machines, with the Kernel Trick enabling non-linear decision boundaries without explicit high-dimensional computations.