Machine Learning

Machine Learning is a subfield of artificial intelligence that focuses on developing algorithms and statistical models that enable computer systems to learn patterns from data and improve their performance on specific tasks without being explicitly programmed for every rule. ML systems build models from examples, using techniques such as supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. These models can make predictions, classify information, detect patterns, and adapt to new data over time. Machine learning is widely used in applications such as image and speech recognition, recommendation systems, fraud detection, medical diagnosis, and predictive analytics, where manual rule-based programming would be impractical or inefficient.