Machine Learning - Page 45

Machine Learning is a subset of artificial intelligence (AI) focused on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming. It involves training models on large datasets to identify patterns, make predictions, and improve performance over time through experience. Machine learning encompasses various techniques, including supervised learning, where the model is trained on labeled data; unsupervised learning, where it identifies patterns in unlabeled data; and reinforcement learning, which learns through trial and error by receiving feedback from actions taken. Its applications span numerous fields, including natural language processing, computer vision, healthcare, and finance, enabling systems to learn from data and adapt to new inputs dynamically.