In machine learning, np.linalg.norm is often used for normalization and distance calculations. It ensures accurate vector scaling, gradient computations, and clustering, helping models perform optimally by improving consistency in mathematical data representation. https://docs.vultr.com/python/third-party/numpy/linalg/norm