Dimitar Tsonov

Sofia, България


Area of professional interests: Probability models, stochastic processes, Markov chains, Bayesian analysis, regression analysis, decision trees, time-series, predictive modelling, machine learning, Fourier series, information theory, informational geometry, kernel methods analysis, block chains and related fields etc. I use: C++, CUDA, TensorFlow, SciPy, Julia, Octave. Programming languages, standards and technologies I use and I'm familiar with: C++ 11/14/17, GNU C++, MS VC++, MFC, COM, ATL, WTL, OLE, STL, MS PPL. Windows native API, new Windows 7,8,10 API. STL, Templates meta-programming, BOOST. Linux programming, Mac OSX API, POSIX standard. Version control systems I use: GitHub, GitLab

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