Artificial Intelligence (AI) and Machine Learning (ML) are two related and often intertwined technologies masstamilanfree. AI is an umbrella term that encompasses many different approaches to computing, while ML is a specific subfield of AI, focused on developing algorithms that allow systems to learn from data. At its core, AI can be thought of as an umbrella term for any computer system that is designed to complete tasks in a way similar to a human mallumusic, such as recognizing patterns and making decisions. AI systems can be programmed with explicit rules, or given data and left to infer rules by themselves newshunttimes. Examples of AI include natural language processing, computer vision, and robotics. Machine Learning, on the other hand, is a subset of AI that focuses on developing algorithms that allow systems to learn from data timesweb. This learning can occur either through supervised learning, in which a system is fed labeled data and its output is evaluated against a set of predetermined values; or unsupervised learning, in which a system is given unlabeled data and left to discover patterns and correlations by itself. Examples of ML include speech recognition, computer vision, and autonomous vehicles newmags. The main difference between AI and ML is that AI is a broader concept that encompasses many different approaches to computing, while ML is a specific subfield of AI focused on algorithms that allow systems to learn from data alltimesmagazine.
