C++ is an experienced language with a vast history of development. Its long existence and the diversity of its implementations make it a popular choice for many developers. But in the last decade, a new trend has emerged: machine learning. Although it might seem like new technology, its roots stretch back to the late 1950s. And despite its growth exponentially over the last few years, C++ has been used for machine learning applications since the early 2000s.
Many developers depend on the following open source libraries: C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science, and physics implemented in C for educational purposes; Flashlight - standalone library for machine learning; Dlib - a toolkit for making real-world machine learning and data analysis applications. Check out the 7 best C++ libraries to use in machine learning projects this year.