Machine Learning - Page 3

Machine Learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform tasks without being explicitly programmed for each specific task. Instead, machine learning systems learn from and make predictions or decisions based on data. The primary goal is to allow computers to identify patterns, recognize anomalies, and improve their performance over time as they process more data. 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 optimizes decision-making through trial and error. Overall, machine learning enables the automation of analytical model building and improves the accuracy and efficiency of data-driven tasks across numerous applications, from image and speech recognition to predictive analytics and recommendation systems.