JavaScript is the programming language of the web which makes it pretty important! However, it has mostly been used as a scripting language in web development without much association with Machine Learning or Data Science as compared to R and Python. That’s because R and Python are specifically suited to Data Science or ML with a large collection of supporting libraries, community members, and infrastructure. However, in the past few years, JavaScript’s popularity has increased to such an extent that more and more people are going crazy over it! That’s why this article deals with the top 10 JavaScript libraries that are quite popular these days.

These include many awesome JavaScript libraries now for different implementations of Machine Learning and Data Science such as nlp.js or Compromise for Natural Language Processing, D3.js or Chart.js for Data Visualization, and Brain.js, TensorFlow.js, etc. for uses in generic machine learning. You can implement all these facets of Machine Learning or Data Science in JavaScript using these libraries both in the browser and at the backend using Node.js. So without further ado, let’s check out these libraries now.

1. Brain.js
2. TensorFlow.js
3. Synaptic
4. ConvNetJS
5. ml5.js
6. nlp.js
7. Compromise
8. D3.js
9. Chart.js
10. Sigma.js

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#javascript #machine-learning #data-science #tensorflow #artificial-intelligence