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Linear Algebra for Data Science Using Python

Functions in Data Science

Understand how data science functions map numerical inputs to outputs using arrays, matrices, and tensors. Learn to approximate unknown functions from sample data and see how linear algebra helps simplify complex relationships through linear function approximation.

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Functions in data science

Functions are generally not restricted to having only numbers, arrays, matrices, or tensorsGeneralisation of scalars and vectors as inputs. The same is true for a function’s outputs and parameters. However, data science focuses on functions that consist of inputs, outputs, and parameters that are numbers, arrays, matrices, or tensors only. This is because the objects of interest, including images, text, ...