Question: answe A machine learning engineer is working on a project with a very huge dataset. It takes almost a whole day to train and test

answe

A machine learning engineer is working on a project with a very huge dataset. It takes almost a whole day to train and test the accuracy of the algorithm. After a lot of effort, he got the idea of parallelization. How this idea will be helpful in the project? Each correct answer represents a complete solution. Choose all that apply. By setting up a software configuration with more processors and memory By dividing up tasks among multiple processors By reducing the time needed to run a training algorithm By dividing multiple sub-tasks into computing tasks

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