Machine learning libraries in C++

[KanizoRGB]

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Proposed title of article

Machine learning libraries in C++

Introduction paragraph (2-3 paragraphs):

What is the essence of using libraries for machine learning. This is a sequel to an earlier article where we implemented algorithms from scratch. Libraries enable reuse of code for solving problems. The code could have been implemented by an expert or an enthusiast. This saves one from the problem of having to "reinvent the wheel" each time especially when working or learning under strict deadlines. C++ as a programming language has libraries that are useful for machine learning. In this article, we will look at the SHARK and MLPACK libraries and exploit their functionality in machine learning.

Key takeaways:

1.The reader will learn how to install libraries and set up the environment on their computers. 2.The reader will learn how to use libraries to implement common machine learning models. 3.The reader will also get the gist of libraries and their use in solving common repetitive problems and not just for machine learning.

References:

1.https://www.mlpack.org/doc/mlpack-3.2.2/doxygen/build.html 2.http://www.shark-ml.org/sphinx_pages/build/html/rest_sources/tutorials/tutorials.html 3.https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-k-means-clustering/?utm_source=blog&utm_medium=introduction-machine-learning-libraries-c

Templates to use as guides

• How To Guide Template
• Software Review Template
• Tutorial Template

[hectorkambow]

@KanizoRGB to help avoid a backlog queue we are only accepting one article topic/pr approved at a time 👍

[KanizoRGB]

@hectorkambow can you please reopen this