How is Machine Learning helpful?

There are specific use cases like the spam filter, where doing traditional programming is hard. Also, the real use of machine learning, that is, cognitive problems, such as image recognition, speech processing, Natural Language Processing (NLP), and so on. These tasks are extremely data-driven and complex, and solving them using rules would be a nightmare. So, an increase in complexity and data-driven problems are the key areas where machine learning can thrive. For example, we have NLP models that can write entire movie scripts, image processing models that can colorize old black and white images, and so on.