Storage Optimization

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• Evaluation Metric: Evaluation metric is a quantitative measure used to assess the performance of a machine learning model. It is used to evaluate how well the model is performing on the given dataset. The choice of evaluation metric depends on the type of pro ... Read More >>
• Memory-based Algorithms: Memory-based algorithms are a type of machine learning algorithm that relies on the entire training dataset to make predictions. These algorithms store the training data in memory and use it to calculate the similarity between the new data ... Read More >>
• Shared Memory: Shared memory is a memory area that can be accessed by multiple processes or threads simultaneously. In data science and artificial intelligence, shared memory is often used to improve the performance of parallel computing. By sharing memor ... Read More >>