Machine learning is a research domain that focuses on developing algorithms and techniques that enable computers to learn from and make predictions or decisions based on data. It encompasses a variety of subdomains, including supervised learning, unsupervised learning, reinforcement learning, and deep learning. Machine learning algorithms are used in a wide range of applications, such as image and speech recognition, text analysis, recommendation systems, and autonomous vehicles. Researchers in this domain work to improve the accuracy, efficiency, and interpretability of machine learning models, as well as to address ethical considerations related to their use.