Aspiring web developers and programmers are always on the lookout for learning resources and hands-on activities to refine their skills. Various open-source projects demonstrate the required techniques from a detailed Javascript tutorial with examples to an innovative take on artificial intelligence.

Machine learning is one of the most popular emerging technologies in the digital era, led by big data. It involves feeding data into the software application and writing algorithms to build logic based on the data. Therefore, it is an  artificial intelligence branch that predicts accurate outcomes with limited human intervention and explicit programming.

Javascript is a go-to programming language for making interactive client-side applications. Developers also use Node.js to write server-side code in Java. Since machine learning is a growing field in tech, more and more practitioners are looking to gain knowledge and experience in this area.

The present-day web ecosystem has advanced to make room for varied machine learning problems. Neural networks can now run in any language, including Javascript. If you are thinking about implementing a java  ML project, read on to know about some exciting libraries and web applications.

Machine Learning Projects in Javascript

1. TensorFlow

TensorFlow is an excellent AI library that contains Java APIs and lets you create data flow graphs and develop impressive projects.

2. Brain

3. Synaptic

4. NeuroJS

5. ConvNetJS

6. FlappyLearning

7. Land Lines

8. Thing Translator

9. Deep Playground

10. DeepForge

11. WEKA

12. Deeplearning4j

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Machine Learning Projects With JavaScript [Top Libraries & Web Applications]
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