Using NodeJS For Machine Learning: Opportunities And Challenges
by Abdul Aziz Mondal Technology 17 May 2023
However, developers have also started using Nodejs with machine learning in recent years. As many opportunities and challenges are going to be faced while building machine learning in Nodejs, here we will discuss each of them.
Machine Learning In Nodejs Opportunities
Nodejs was commonly used for developing web applications, and with that, it was incorporated with machine learning algorithms. For instance, if an e-commerce website uses machine learning algorithms to make personalized product recommendations to users based on browsing history and purchase history. So, Nodejs can easily be used in backend applications with libraries such as TensorFlow or sci-kit-learn to implement a machine learning algorithm accurately.
Machine Learning In Nodejs Challenges
Limited ML libraries
While there are a growing number of machine learning libraries available for NodeJS, the range of options is still limited compared to Python and R. This is because Python and R have been around for much longer than NodeJS and have a much larger community of developers working on machine learning libraries and tools. Additionally, several popular machine learning libraries are written in Python, making integrating them into NodeJS projects difficult.
Lack Of Community Support
NodeJS is still a relatively new player in the machine learning world, so there may be limited community support and resources available for developers. This can make it difficult for developers to find help when they run into issues with their code, and it can also limit the availability of tutorials and other resources that can help developers get up to speed on using NodeJS for machine learning.
NodeJS can be difficult to debug due to its asynchronous nature and lack of a built-in debugging tool. This can make it difficult for developers to identify and fix bugs in their code, particularly when working with complex machine-learning algorithms. While tools are available for debugging the NodeJS applications, they can be complex to use and may require experienced Node js developers for this steep learning curve.