Mathematics, Linear Algebra, Machine Learning, Data Science.
decomposition helps solve systems of linear equations efficiently. In machine learning models like variational autoencoders (VAEs) and other deep probabilistic models, gradients are crucial for optimization during training, particularly for tasks like variational inference and backpropagation