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IT Groups of Visualator.ai - Machine Learning:
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(example) Input data: (x) Model > Predict output ( ỹ) > Error Training Database. Compare > Expected data (y) ---| Error Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to improve their performance on a specific task through learning from data, without being explicitly programmed. In other words, machine learning allows computers to automatically discover patterns, make predictions, and adapt their behavior based on the information they are exposed to. Here are some key concepts and components of machine learning: 1. Data : Machine learning relies heavily on data. Algorithms learn from historical or labeled data to make predictions or decisions. The quality and quantity of the data are crucial factors in the success of a machine-learning model. 2. Features : Features are the input variables or attributes used in a machine learning model. They repres