Machine learning (ML) is also gaining popularity among the business community. With this technology, you can build high-performing web applications that predict outcomes and find solutions to problems.

According to an industry report, Machine Learning will be worth $28.5 billion, and Deep Learning Software will grow to an estimated size of $80 million over the next few years.

This is because the potential of Machine Learning is limitless. Some of its features include:

1. Predictive analytics:  The purpose of applying Machine Learning in predictive analytics is to help you predict future outcomes. You can use this technology, for example, to predict if a user will likely buy your product next month based on their purchasing history.

2. Predefined tasks:  The other benefit of applying Machine Learning in web application development is that it allows you to specify clearly defined tasks. These rules are then translated into algorithms to help you solve problems, make accurate predictions, and process information efficiently.

3. Self-learning capabilities:  Virtual assistants are also incorporating Machine Learning technology to boost their performance levels. For example, the Amazon Echo uses voice recognition technology to understand your needs and provide relevant answers. Furthermore, it eliminates the need for human intervention in day-to-day operations. Businesses can process more data and provide better solutions as a result. React is well-equipped to handle ML-based web application development. This is because it can integrate with machine learning libraries such as TensorFlow and SciKit. It allows you to use large amounts of data effectively, which will help businesses grow rapidly in the years ahead. For these reasons, more ML-based apps are being built with ReactJs.