Machine Learning

Machine Learning (ML) is a subset of artificial intelligence that focuses on developing algorithms and systems that can learn and improve automatically from experience without being explicitly programmed for specific tasks. Rather than following pre-programmed instructions, machine learning systems identify patterns in data and use these patterns to make predictions or decisions about new, unseen data. ML encompasses various approaches including supervised learning (learning from labeled examples), unsupervised learning (finding hidden patterns in unlabeled data), and reinforcement learning (learning through trial and error with rewards and penalties). Machine learning powers many modern AI applications including recommendation systems, image recognition, speech recognition, fraud detection, and autonomous vehicles. The field has evolved significantly with the advent of deep learning, which uses neural networks to process complex data and has enabled breakthrough performance in areas like natural language processing and computer vision.