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mlpack: Or, How I Learned To Stop Worrying and Love C++: mlpack is a cutting-edge C++ machine learning library containing fast implementations of both standard machine learning algorithms and recently-published algorithms. In this talk, I will introduce mlpack, its design philosophy, and discuss how C++ is helpful for making implementations fast, as well as the pros and cons of C++ as a language choice. I will briefly review the capabilities of mlpack, then focus on mlpack’s flexibility by demonstrating the k-means clustering code (and maybe some other algorithms too, like nearest neighbor search), and how it might be used in a production environment. The project website can be found at http://www.mlpack.org/.