Part 7/13:
The discussion then explores various AI techniques:
Rule-Based Systems & Genetic Algorithms: Simple, deterministic algorithms exemplified by spell checkers or chess engines.
Machine Learning (ML): Algorithms that enable systems to learn from data, including decision trees, ensemble methods like GBM and XGBoost, and generalized linear models—traditional workhorses for many tasks.
Deep Learning & Neural Networks: Utilizing multilayer neural networks for complex pattern recognition—especially in NLP and image recognition.