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MSE and MAE are commonly used measurement of model prediction.
In mathematics, the Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field. Hessian Matrices are often used in optimization problems within Newton-Raphson's method.
Matrix factorization is a class of algorithms used for recommender systems in machine learning. Matrix factorization algorithms work by decomposing dimensionality. Commonly known matrix factorization algorithms are SVD and PCA.