Multi-processing

Multi-processing is a technique of using multiple processors or cores of a computer system to execute multiple tasks or processes simultaneously. In data science and artificial intelligence, multi-processing is used to speed up the execution of computationally intensive tasks such as training machine learning models, processing large datasets, and running simulations. By dividing a task into smaller sub-tasks and assigning them to different processors, multi-processing can significantly reduce the time required to complete the task. Multi-processing can be implemented using various techniques such as parallel processing, distributed processing, and multi-threading. Parallel processing involves dividing a task into smaller sub-tasks and executing them simultaneously on different processors. Distributed processing involves distributing a task across multiple computers connected over a network. Multi-threading involves dividing a task into smaller sub-tasks and executing them simultaneously on different threads within the same process.
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