Why traditional ML still matters

- [Instructor] When most people hear artificial intelligence, they immediately think of large language models and generative AI. But before those big models took the spotlight, traditional machine learning was already transforming industries, and it's still doing that today. Traditional machine learning techniques like regression, decision trees, random forests, and clustering are the steady engines that power real business value. They're fast, reliable, and often exactly what's needed. Think about fraud detection, customer churn prediction, inventory management, and demand forecasting. These are problems where traditional machine learning shines because it's focused, efficient, and grounded in data-driven insights. In many other cases, simpler models perform just as well, if not better than complex deep learning systems. They train faster, costs less to maintain, and can be deployed almost anywhere. Another major…