Machine Learning: Teaching Machines to Think

Description

Machine learning (ML), a subset of AI, enables computers to learn from data without explicit programming. It uses algorithms that improve over time as they are exposed to more data. ML is used in spam filters, fraud detection, product recommendations, and even in predicting health issues. Businesses use it to understand customer behavior and automate decisions. The more data an ML model processes, the smarter and more accurate it becomes. This self-improving capability makes machine learning a key driver of AI’s success, allowing machines to make predictions, uncover trends, and provide insights that would be impossible through manual analysis.