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Web applications provides Accessibility, Scalability, Cost-effectiveness, Security, Customization and Integration

This makes it a valuable tool. As the world becomes increasingly digital, web applications are becoming an essential tool for businesses of all sizes.

Machine learning is getting popular these days because of the following reasons:
Abundant data: There is an abundance of data available today, which can be used to train machine learning models. This data can come from a variety of sources, such as social media, e-commerce, and sensors.
Advances in computing power: The cost of computing power has decreased significantly in recent years, making it more affordable to train machine learning models. This has also led to the development of new machine learning algorithms that can be trained on larger datasets.
Open-source tools: There are a number of open-source machine learning tools available, which makes it easier for developers to get started with machine learning. These tools include TensorFlow, PyTorch, and scikit-learn.
Real-world applications: There are a number of real-world applications for machine learning, such as fraud detection, spam filtering, and image recognition. This has led to increased interest in machine learning from businesses and organizations.
Overall, there are a number of factors that have contributed to the growing popularity of machine learning. These factors include the abundance of data, advances in computing power, open-source tools, and real-world applications. As these factors continue to evolve, machine learning is likely to become even more popular in the years to come.