Metrics And Norms In Machine Learning
Metrics measure the similarity or distance between data points, while norms measure the magnitude or length of vectors or matrices. Metrics are used to compare data points, such as Euclidean distance or cosine similarity. Norms are used to assess the size of vectors or matrices, such as L1 or L2 norms. Understanding these concepts is…