Top Javascript Machine Learning Development Frameworks & Libraries

Artificial Intelligence (AI) is propelling new business opportunities across industries. With rapid algorithmic advancements, businesses are able to harness artificial intelligence services to embed automation in critical operations and processes. The development of AI-powered solutions is accelerated with emerging java-script machine learning development frameworks and libraries. These mechanisms are effective at training the machine learning models for domain-specific automated solutions for complex business setups.

Let’s explore some wide-ranging java-script-based machine learning libraries that can be deployed for diverse projects.

Brain.js:

Brain.js is a node library written in JavaScript for neural networks that can be used with Node.js for the ML applications. It also has support for asynchronous tasks to train neural network data using trainAsync() and support for streams as well.

ml.js:

Mljs is an organization that developed ml.js library. This library is a collection of tools developed by the mljs organization. It includes a vast collection of tools for different categories such as unsupervised learning, supervised learning, artificial neural networks, regression, optimization, statistics, data processing, and math utilities.

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