In machine learning, the operation that allows us to combine data represented in arrays (matrices) to produce new insights is called __________.

In machine learning, the operation that lets us combine data stored in arrays or matrices to create new information is called matrix multiplication. It works by taking rows from one matrix and columns from another, multiplying corresponding entries, and summing them to produce each element of a new matrix. This process transforms input data into a new representation that often highlights patterns or relationships hidden in the original arrays. For example, multiplying a 3×2 matrix of features by a 2×1 weight vector yields a 3×1 vector of predictions, turning raw features into output values. Thus, matrix multiplication is the key tool for blending and interpreting multi‑dimensional data.