Multiprocessing

Multiprocessing is the ability of a computer system to use more than one processor or core to perform multiple tasks simultaneously. In data science and artificial intelligence, multiprocessing is used to speed up the processing of large datasets and complex algorithms. By dividing the workload among multiple processors, multiprocessing can significantly reduce the time required to complete a task. This is particularly useful in machine learning, where large datasets and complex models can take hours or even days to train on a single processor. Multiprocessing can be implemented using various techniques such as parallel processing, distributed computing, and GPU acceleration.

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Multiprocessing

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