Machine learning (ML) is a subset of AI that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Using algorithms, ML improves performance over time, powering applications like predictive analytics, image recognition, and personalized recommendations.

Machine learning (ML) is a branch of artificial intelligence that focuses on developing algorithms and statistical models to enable systems to learn from data and make predictions or decisions without explicit programming. By analyzing patterns in large datasets, ML algorithms improve their performance over time, making them invaluable for applications such as predictive analytics, natural language processing, image and speech recognition, and personalized recommendations. Techniques like supervised, unsupervised, and reinforcement learning allow machines to classify data, detect anomalies, and optimize outcomes across industries, including healthcare, finance, and retail. As data availability grows, ML continues to drive innovation, automation, and efficiency, transforming how businesses and technologies operate.