Top C/C++ Machine Learning Libraries For Data Science

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Importance of C++ in Data Science and Big Data
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C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Caffe is written in C++ for a deep learning framework, has been developed by the Berkeley Vision and Learning Center. TensorFlow from Google AI has its own ecosystem of tools, libraries, and community resources that lets researchers and developers build and deploy ML-powered applications easily.