Projections in linear algebra refer to the process of mapping a vector onto a subspace, essentially representing the vector in terms of its components along that subspace. This concept is vital for reducing dimensions and simplifying data analysis by focusing on relevant features while disregarding irrelevant ones, which is especially useful in data science for tasks like regression and classification.
congrats on reading the definition of Projections. now let's actually learn it.