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Data structures are essential for machine learning algorithms to analyze and manipulate massive datasets. Arrays are the most common data structures used in machine learning, as they are excellent for managing large datasets due to their vectorized operations and constant-time element access. Arrays are also compatible with libraries and architecture, making them a great choice for machine learning tasks.