Data Science, Machine Learning, AI, Mathematics, Programming.
important applications of eigenvalues and eigenvectors in machine learning. In linear regression, eigenvalues and eigenvectors are used to determine the most important features in the data, allowing for the creation of more accurate regression models. In principal component analysis, eigenvalues