Machine Learning with C - Polynomial Regression (CPU)

There are a lot of articles about how to use Python for solving Machine Learning problems, with this article I start series of materials on how to use modern C for solving same problems and which libraries can be used. I assume that readers are already familiar with Machine Learning concepts and will concentrate on programming issues only. The first part is about creating Polynomial Regression model with XTensor library. This is C library for numerical analysis with multi-dimensional array expressions, and containers of XTensor are inspired by NumPy. A lot of functions in this library also have semantic similar to NumPy.so should be easier to start with this library rather then with Eigen or ViennaCL if you already familiar with NumPy.