According to a recent report, the global machine learning market is expected to grow significantly in the coming years, from $21.17 billion in 2022 to $209.91 billion by 2029. The demand for ML and AI professionals, including data engineers and data scientists, has grown significantly in recent years, as well.
This trend is hardly surprising, as the possibilities for business improvement and optimization through the integration of machine learning and artificial intelligence seem endless.
One particularly popular application of AI is natural language processing, which is used in a wide range of common technologies such as search engines, social media platforms, translation services, and even speech-to-text/text-to-speech processing in streaming and hotline services.
From analyzing emails and posts to transcribing smartphone messages and websites, NLP is starting to play an increasingly important role in our digital world.
In this article, we’ll explore the significance of natural language processing in machine learning and its various applications in everyday technologies. You’ll learn about the Hugging Face library and understand how greatly it simplifies the implementation of NLP.