Machine Learning

Machine Learning is a subset of artificial intelligence focused on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming. Instead of being systematically programmed to follow specific instructions, machine learning systems learn from data, identify patterns, and make decisions or predictions based on that data. The process involves feeding large amounts of data into an algorithm, which then adjusts its parameters to improve accuracy over time. Machine learning can be categorized into several types, including supervised learning (where the model is trained with labeled data), unsupervised learning (where the model finds patterns in unlabeled data), and reinforcement learning (where the model learns by receiving rewards or penalties). Its applications span various fields, including natural language processing, computer vision, healthcare, finance, and many others, enabling advancements such as recommendation systems, predictive analytics, and autonomous systems.