Arrays and Vectors in Machine Learning
Arrays and Vectors are foundational data structures in Machine Learning. Arrays are fixed-size sequences of elements, ideal for storing data in a structured format. Vectors are one-dimensional arrays, essential for representing data points, features, and model parameters in ML algorithms. Understanding these structures is key to effective data manipulation and model building.
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