Principal components is an important concept in 1, specifically related to pca preview. Why eigenvalues matter for dimensionality reduction Understanding principal components is essential for machine learning practitioners working with 1 concepts.
Interactive lesson with visualizations and practice problems
Part of the PCA Preview lesson in Mathematics Foundations