Al Concepts

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Machine learning is an application of artificial intelligence that gives computers the ability to learn and improve from experience without being explicitly programmed. It uses data to build patterns …

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Machine learning is part of artificial intelligence because it helps machines perform smart tasks by learning from data. AI is the broader field, and machine learning is one way to achieve it.

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Arthur Samuel gave this definition in 1959: "Machine learning is a field of study that gives computers the ability to learn without being explicitly programmed."…

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In supervised learning, X means input variables, y means output variable, and f is the mapping function learned by the algorithm. The goal is to learn the relationship from input to output so the mode…

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It is called supervised learning because the algorithm learns from labelled training data, similar to a teacher guiding the learning process. The correct output is already known during training.

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Supervised learning is a machine learning method in which the model learns from fully labelled training data and then predicts outcomes for new, unseen data. It is used when the correct answers are al…

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Common supervised learning algorithms include Nearest Neighbor, Naive Bayes, Decision Trees, Linear Regression, Support Vector Machines, and Neural Networks.

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If fruit images are labelled as Apple, Cherry, Banana, or Grapes, the model studies the labels and features like size, color, and shape. Later, it uses that training to identify a new fruit correctly.