Data Science, Linear Algebra, Machine Learning.
fundamental concept in kernel methods. Instead of explicitly performing the high-dimensional mapping, which could be computationally expensive or infeasible for very high dimensions, the kernel trick computes the dot product (inner product) between data points in the high-dimensional space using