Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the term "rank" is commonly used in the context of tensor algebra. A tensor is a mathematical object that is a generalization of scalars, vectors, and matrices, and is used to represent complex data structures in various machine learning algorithms. The rank of a tensor refers to the number of dimensions or indices required to represent the tensor. ==Tensor Basics== ===Scalars, Vectors, and Matric..."
