A machine learning design is usually a kind of mathematical product that, following currently being "properly trained" with a offered dataset, may be used for making predictions or classifications on new data. In the course of instruction, a learning algorithm iteratively adjusts the design's interior parameters to attenuate faults in its predictio
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