← Introduction to Machine Learning

The Perceptron

We will continue exploring linear regression and classification models, building upon these foundations to introduce the perceptron as a fundamental building block for neural networks. We examine their mathematical formulation, learning process, and limitations, concluding with how these simple units form the basis for neural network architectures.

Department: Centro de Estudios y Asesorías en Estadística (CEASE)

Institution: Universidad de Nariño

Date: June 21, 2025

Hours: 4

From: 8:30 am

To: 12:00 am

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