Data Science, Linear Algebra, Machine Learning.
the concept of Principal Component Analysis (PCA) using kernels. It allows for nonlinear dimensionality reduction by finding principal components in the kernel space. Kernel Ridge Regression: Kernel ridge regression is a regression technique that uses kernels to model complex relationships between