Data Science, Linear Algebra, Machine Learning.
that it operates in a high-dimensional space without explicitly mapping the data points into that space. 2. Implicit High-Dimensional Mapping: The essence of kernel methods in linear algebra is that they enable us to work with data implicitly in a high-dimensional feature space, often referred to