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

Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/top-cc-machine-learning-libraries-for-data-science-nl183wo1.
Importance of C++ in Data Science and Big Data
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #data-science, #artificial-intelligence, #hackernoon-top-story, #programming, #ml-libraries, #cplusplus, #open-source, #hackernoon-es, and more.
This story was written by: @sharmi1206. Learn more about this writer by checking @sharmi1206's about page, and for more stories, please visit hackernoon.com.
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.