Machine Learning Basics

Machine learning is teaching computers to learn from examples rather than following explicit rules.

Three Types

• Supervised learning: learn from labeled data (classification, regression)
• Unsupervised learning: find patterns in unlabeled data (clustering)
• Reinforcement learning: learn through trial and error (games, robotics)

Start Here

Linear regression, decision trees, k-nearest neighbors. Understand these before touching neural networks. The fundamentals matter more than the latest architecture.