Programação Tradicional vs. Machine Learning: A Anatomia do Aprendizado

Section role: supports the 'A Anatomia do Aprendizado: De Regras a Dados' section while the teacher explains the shift from human-coded rules to data-driven patterns. Slides: (1) Title — 'A Anatomia do Aprendizado: De Regras a Dados'; (2) Programação Tradicional — bullets: definition of explicit rules (if/then statements), human effort, example of a simple calculator; (3) O Paradigma do Machine Learning — bullets: how computers discover patterns from data, transition from rules to models, example of spam filters; (4) A Hierarquia da IA — bullets: diagram showing Artificial Intelligence as the umbrella field, Machine Learning as a subfield, and Deep Learning as the deepest layer; (5) Deep Learning e Redes Neurais — bullets: inspiration from the human brain, multi-layer processing, handling unstructured data like images and audio; (6) Glossário Essencial — bullets: definitions of Algoritmo, Dados de Treinamento, and Modelo; (7) Conexão com o Cotidiano — reference back to Section 1 examples like TikTok and forward to Section 3 hands-on training; Closing slide: 'Se a IA aprende com dados, o que acontece se os dados forem tendenciosos?' — hands control back to the teacher to set up the next topic on ethics.