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• Amplification: Amplification is a technique in machine learning that involves generating training data from existing data by adding noise or perturbations to the input data. The goal of amplification is to increase the diversity of the training data, whic ... Read More >>
• Data Parallelism: Data Parallelism is a technique used in distributed computing and parallel computing to divide a large dataset into smaller subsets and process them simultaneously on multiple processors or nodes. In this technique, each processor or node r ... Read More >>
• CPU Time: CPU time is the amount of time for which a central processing unit (CPU) was used for processing instructions of a computer program or operating system. It is a measure of the amount of processing power that a program or system has consumed ... Read More >>