Introduction to Machine Learning

In this lesson, we’ll break down how machines learn from data, focusing on supervised learning—the powerful method behind AI-driven diagnostics and predictions. You’ll explore key concepts like classification and regression, along with algorithms such as decision trees, random forests, and support vector machines. We’ll also uncover the importance of feature selection—how choosing the right data points makes AI smarter and more reliable.