What Are Transformer Models In Machine Learning - Big Data Analytics News

Machine learning refers to a data analysis method, automating analytical model building. This artificial intelligence branch is based on the concept that computer systems can learn from data, identifying patterns, and making decisions with minimal to zero human intervention. Intelligent systems are built on machine learning algorithms to learn from historical data or past experience. Machine learning applications include image recognition and speech recognition, valuable in various industries such as medicine, e-Commerce, manufacturing, and education. In this article, you'll learn more about transformer models in machine learning. The transformer refers to a deep learning model, utilizing the mechanism of attention used in natural language processing (NLP), a branch of artificial intelligence (AI) that deals with the interaction between humans and computers using the natural language.