Machine Learning Algorithm

A machine learning algorithm is a set of rules and statistical models that a computer system uses to perform a specific task without being explicitly programmed. It is a subset of artificial intelligence that allows machines to learn from data and improve their performance over time. Machine learning algorithms can be supervised, unsupervised, or semi-supervised, depending on the type of data used to train the model. Supervised learning algorithms use labeled data to make predictions, while unsupervised learning algorithms use unlabeled data to identify patterns and relationships. Semi-supervised learning algorithms combine both labeled and unlabeled data to improve accuracy. Machine learning algorithms are used in a variety of applications, including image recognition, natural language processing, and predictive analytics.
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