An algorithm in machine learning is the ordered set of mathematical rules and procedures that a training process follows to identify patterns in data. It is not the data itself (the dataset), the learned parameters that result from training (the model weights), or the computing hardware used to speed up training. The algorithm defines how the model will adjust its parameters based on the input data and selected objective function.
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Fundamentals of AI and ML
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