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• Inference: Inference is the process of using a trained machine learning model to make predictions or decisions based on new, unseen data. In other words, it is the process of applying a model to new data in order to generate predictions or insights. I ... Read More >>
• Sparse Matrix: In data science, a sparse matrix is a matrix in which most of the elements are zero. Sparse matrices are used to represent large datasets that have a lot of missing or irrelevant data. They are particularly useful in machine learning algori ... Read More >>
• Primary Data: Primary data refers to the original data collected for a specific research purpose. It is collected directly from the source through methods such as surveys, experiments, and observations. Primary data is considered more reliable and accura ... Read More >>