Unbounded Data

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• Switching: Switching refers to the process of changing from one task to another in a computer system. In data science, switching can occur between different algorithms or models during the training process. This can be done manually or automatically, ... Read More >>
• Key-value: Key-value is a data storage paradigm where data is stored as a collection of key-value pairs. In this paradigm, each piece of data is identified by a unique key, and the corresponding value can be retrieved using that key. Key-value stores ... Read More >>
• Statistical Redundancy: Statistical redundancy refers to the presence of excessive or unnecessary information in a dataset that can negatively impact the performance of machine learning models. This can occur when variables in a dataset are highly correlated or wh ... Read More >>