## CMU Machine Learning in Machine Learning and AI
Carnegie Mellon University (CMU) is a leading institution in the field of machine learning and artificial intelligence (AI) research and practice. CMU's CyLab researchers are focused on advancing research in machine learning and AI, in which computers can "learn" trends from massive collections of data. The Machine Learning Department at CMU studies and researches the theoretical foundations of the field of machine learning, as well as on the contributions to the general intelligence of the field of machine learning.
Machine learning is about machines improving from data, knowledge, experience, and interaction. It is a fascinating field of AI research and practice, where computer agents improve through experience. Within artificial intelligence (AI), machine learning has emerged as the method of choice for developing practical software for computer vision.
Machine learning has played a critical role across several technologies and practices that CMU has developed to reduce the opportunity for and limit the damage of cyber attacks. Researchers at CMU are working on various applications ranging from facial recognition to systems that can autonomously find and fix software bugs before they are exploited.
CMU's Machine Learning Department is globally known in AI and machine learning since 1997 and is ranked 1 in Machine Learning and AI by U.S. News & World Report 2018. The department has world-renowned faculty for PhD and Master programs.
In conclusion, CMU is a leading institution in the field of machine learning and AI research and practice. Its researchers are focused on advancing research in machine learning and AI, and the Machine Learning Department at CMU studies and researches the theoretical foundations of the field of machine learning. Machine learning has played a critical role across several technologies and practices that CMU has developed to reduce the opportunity for and limit the damage of cyber attacks.