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. With the help of new Regression Learner users can explore their data, select features, specify validation schemes, train models, and assess results. It also helps in developing machine learning models, working with big data, and operationalizing analytics to production systems. It provides complete solutions and facilities engineers, mathematicians and data analysts in data analysis, exploration, and visualization. ![]() MATLAB R2017b is high-performance technical computing language developed by MathWorks.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |