Vectors and Matrices for ML: Intuition + Quick Examples in Data Scientist
Vectors & Matrices
Think of a vector as a list of numbers (features). A matrix is a table (dataset).
x = [age, salary, clicks] X = many rows of x (dataset)
Most ML operations are just matrix multiplications behind the scenes.

