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Overall, MATLAB 2017 is one of the best high-performance technical computing languages and we highly recommend it for complex calculations. This Code can be integrated into project as source code, static libraries, or dynamic libraries, and can be used for prototyping on GPUs such as the NVIDIA Tesla and NVIDIA Tegra. For deep learning, embedded vision, and autonomous systems it supports CUDA Code Generation from MATLAB. It also allows users to perform automated training to search for the best regression model type, including linear regression models, regression trees, Gaussian process regression models, support vector machines, and ensembles of regression trees.
