Machine Learning, Artificial Intelligence, Data Science.
algebra and machine learning. In machine learning (ML), we often use matrices to hold f(vᵢ , vⱼ). Such functions are often symmetrical, f(x, y) = f(y, x), and the corresponding matrix is therefore symmetric. For instance, in machine earning, f can measure the feature distance between data points or