Artificial Intelligence Algorithms
Artificial Intelligence (AI) algorithms are a set of rules and procedures that enable machines to perform tasks that typically require human intelligence, such as perception, reasoning, learning, and decision-making. These algorithms are designed to process large amounts of data and extract meaningful insights from them, using techniques such as machine learning, deep learning, natural language processing, and computer vision. AI algorithms can be supervised, unsupervised, or semi-supervised, depending on the type of data and the desired outcome. Supervised algorithms are trained on labeled data, where the correct output is known, and are used for tasks such as classification and regression. Unsupervised algorithms are trained on unlabeled data, where the correct output is unknown, and are used for tasks such as clustering and anomaly detection. Semi-supervised algorithms are a combination of supervised and unsupervised algorithms, where some data is labeled and some is not. AI algorithms are used in a wide range of applications, such as image and speech recognition, fraud detection, recommendation systems, autonomous vehicles, and medical diagnosis.
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