Data Science, Machine Learning, Artificial Intelligence, Python, Mathematics.
np.array([0.88, 0.26]) p_2 = np.array([0.97, 0.15]) # np.linalg.norm() is a replacement for np.sqrt(A @ A) (p_1 @ p_2) / (np.linalg.norm(p_1) * np.linalg.norm(p_2)) The only new addition here is the np.linalg.norm function which returns the magnitude (length) of a vector so we don’t have to go