Most Useful C/C++ ML Libraries Every Data Scientist Should Know

 By datasciencecentral - 2020-10-23

Description

Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing…

Summary

  • With some of theuniqueadvantages of C++ as a programming language, (includingmemory management,performance characteristics,andsystems programming), it definitely serves as one of the mostefficienttools for developing fast scalable Data Science and Big Data libraries.
  • Caffe from Berkeley Convolutional Architecture for Fast Feature Embedding or Caffe is written in C++ for a deep learning framework, has been developed by the Berkeley Vision and Learning Center.
  • OpenNN Open Neural Networks (OpenNN)is an open-source (C/C++) neural networks high-performance library for advanced analytics, with support for classification, regression, forecasting, among others.
  • Intel (R) DAAL – A high-performance software library developed by Intel and optimized for Intel’s architectures.

 

Topics

  1. Machine_Learning (0.65)
  2. Backend (0.34)
  3. NLP (0.21)

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