Sumários

Linear Models III

17 Dezembro 2024, 13:00 • Sara C. Madeira

Perceptron (and Neural Networks): Perceptron model, training a Perceptron for linear regression and classification (detailed algorithm focusing error backpropagation and weight update).

Introduction to neural networks (historical perspective and overview of different types of networks).

Multi-layer perceptrons (feed-forward neural networks).

Support vector machines and model evaluation and selection

12 Dezembro 2024, 10:30 • Sara C. Madeira

Notebook with examples of Support Vector Machines and the kernel trick in scikit-learn. Notebook with model evaluation and selection: cross-validation and metrics.

Support vector machines and model evaluation and selection

12 Dezembro 2024, 09:00 • Sara C. Madeira

Notebook with examples of Support Vector Machines and the kernel trick in scikit-learn. Notebook with model evaluation and selection: cross-validation and metrics.

Support vector machines and model evaluation and selection

10 Dezembro 2024, 16:30 • Helena Aidos

Notebook with examples of Support Vector Machines and the kernel trick in scikit-learn. Notebook with model evaluation and selection: cross-validation and metrics.

Support vector machines and model evaluation and selection

10 Dezembro 2024, 15:00 • Helena Aidos

Notebook with examples of Support Vector Machines and the kernel trick in scikit-learn. Notebook with model evaluation and selection: cross-validation and metrics.