javascript-machine-learning/organization-overview
👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning
This is a curated collection of resources and example projects for implementing machine learning algorithms using JavaScript. It provides practical code examples for various tasks, from basic linear regression to neural networks and recommendation systems. The target audience is JavaScript developers who want to integrate machine learning functionalities directly into web applications or other JavaScript environments.
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Use this if you are a JavaScript developer looking for practical examples and guidance to build machine learning features into your web applications or Node.js projects.
Not ideal if you are a data scientist or machine learning engineer primarily working with Python or R, or if you need to train very large-scale models with high performance requirements.
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Sep 02, 2022
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