Machine learning is a subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed. In this article, we'll explore the fundamentals of ML, including supervised learning, unsupervised learning, and neural networks.
Key concepts include training data, algorithms, and model evaluation. We'll look at practical applications in image recognition, natural language processing, and predictive analytics.