5 JavaScript APIs for Machine Learning

 While JavaScript itself is mainly used for web development, it is possible to use it also for Machine Learning. JavaScript has a rich set of APIs (Application Programming Interface) for Machine Learning algorithm. I'm going to show you the best that you can use for ML models.

Reasons why you should consider using JavaScript for Web based models.

1. JavaScript is well known by developers.

2. JavaScript is faster.

3. JavaScript has a large community.

4. Can run on many web browsers.

5. Secure.

6. Simplified syntax.

Top APIs.

I have selected the following APIs for you:-

1. Brain.js

2. Tensorflow.js

3. Ml5.js

4. Math.js

5. FaceAPI.js

1. BRAIN.js

Primarily focuses on neural networks, it is a lightweight yet easy to use API for your machine learning project (web to be so precise). It is also a good choice for beginners.

2. TensorFlow.js

It is one of the popular JavaScript library for ML. Offers extensive capabilities for training models directly on JavaScript.

3. ML5.js

It is built on top of TensorFlow.js. it provides pre-trained models for common tasks such as Image classification, Voice recognition and so much more. It is a good choice to use in your project.

4. Math.js

Math.js is an extensive library which offers powerful tools for Machine Learning calculations. 

5. FaceAPI.js

Just as the name suggests, this API mainly deals with facial recognition. Has powerful capabilities that you can integrate in your web project.

Conclusion

Choosing a JavaScript API for ML depends on your projects specific needs, as said earlier JavaScript has a larger community and a good documentation too, you can always consult if you encounter problems.