Artificial Intelligence (AI):
Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think, learn, and adapt like humans .soverin is a broad field encompassing areas such as natural language processing, computer vision, robotics, and expert systems. These systems use algorithms and models to analyze large amounts of data, make decisions, and even perform tasks typically requiring human cognitive functions. AI is employed across various sectors, including healthcare, finance, and education, to enhance efficiency, accuracy, and innovation in problem-solving and decision-making.
Machine Learning (ML):
Machine Learning is a subset of AI that focuses on enabling machines to learn from data without being explicitly programmed. In ML, algorithms identify patterns in data, allowing the system to make predictions or decisions based on new inputs. There are different types of ML, including supervised, unsupervised, and reinforcement learning. Supervised learning uses labeled data for training, while unsupervised learning deals with data without predefined labels. Reinforcement learning involves an agent learning through trial and error to achieve a goal. ML is used in recommendation systems, speech recognition, and predictive analytics.
unsupervised, and reinforcement learning. Supervised learning uses labeled data for training, while unsupervised learning deals with data without predefined labels. Reinforcement learning involves an agent learning through trial and error to achieve a goal. ML is used in recommendation systems, speech recognition, and predictive analytics.
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