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• 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 >>
• Model Tuning: Model tuning is the process of adjusting the hyperparameters of a machine learning model to optimize its performance on a given task. Hyperparameters are parameters that are not learned from data, but rather set by the user before training ... Read More >>
• Edges: In data science, edges refer to the connections between nodes in a graph. A graph is a collection of nodes (also called vertices) and edges that connect them. Edges can be directed or undirected, weighted or unweighted, and can have differe ... Read More >>