Supervised

Machine learning (ML) is a branch of artificial intelligence (AI) that empowers systems to learn from data and make predictions or decisions without explicit programming. ML algorithms analyze data patterns to generate informed predictions or classifications.

ML is broadly categorized into Supervised learning, Unsupervised learning, and Reinforcement learning. Common applications include recommendation systems, predictive analytics, fraud detection, speech recognition, sentiment analysis, machine translation, self-driving cars, and healthcare diagnostics. ML plays a crucial role in automating tasks and extracting insights from massive datasets.