Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
graphical models, learning-to-rank, deep learning, semi-supervised learning, health informatics, machine learning theory
graphical models, learning-to-rank, deep learning, semi-supervised learning, health informatics, machine learning theory
graphical models, learning-to-rank, deep learning, semi-supervised learning, health informatics, machine learning theory
graphical models, learning-to-rank, deep learning, semi-supervised learning, health informatics, machine learning theory
Machine learning empowers intelligent computer systems to autonomously solve tasks. At Northeastern University Khoury College of Computer Sciences, we build on a wide variety of techniques that convert data into knowledge—enabling computer systems to automatically learn from data without being explicitly programmed. Our research runs the gamut from theory and algorithm creation to implementation and end-use applications. As vast amounts of data are collected through modern technologies, machine learning techniques can strengthen these intelligent systems and make them ever more autonomous, powerful, and impactful in our lives.
Machine learning empowers intelligent computer systems to autonomously solve tasks. At Northeastern University Khoury College of Computer Sciences, we build on a wide variety of techniques that convert data into knowledge—enabling computer systems to automatically learn from data without being explicitly programmed. Our research runs the gamut from theory and algorithm creation to implementation and end-use applications. As vast amounts of data are collected through modern technologies, machine learning techniques can strengthen these intelligent systems and make them ever more autonomous, powerful, and impactful in our lives.
Machine learning empowers intelligent computer systems to autonomously solve tasks. At Northeastern University Khoury College of Computer Sciences, we build on a wide variety of techniques that convert data into knowledge—enabling computer systems to automatically learn from data without being explicitly programmed. Our research runs the gamut from theory and algorithm creation to implementation and end-use applications. As vast amounts of data are collected through modern technologies, machine learning techniques can strengthen these intelligent systems and make them ever more autonomous, powerful, and impactful in our lives.
Machine learning empowers intelligent computer systems to autonomously solve tasks. At Northeastern University Khoury College of Computer Sciences, we build on a wide variety of techniques that convert data into knowledge—enabling computer systems to automatically learn from data without being explicitly programmed. Our research runs the gamut from theory and algorithm creation to implementation and end-use applications. As vast amounts of data are collected through modern technologies, machine learning techniques can strengthen these intelligent systems and make them ever more autonomous, powerful, and impactful in our lives.
At Khoury College, we develop new algorithms and real-world techniques that push the boundaries of supervised, semi-supervised, and unsupervised learning. Our machine learning research has widespread application across a number of disciplines. As a doctoral or graduate student, you’ll investigate new methodologies for applying machine learning to diverse areas, such as personal health informatics, computer security, social networks, computer vision, robotics, natural language understanding, and information retrieval.
At Khoury College, we develop new algorithms and real-world techniques that push the boundaries of supervised, semi-supervised, and unsupervised learning. Our machine learning research has widespread application across a number of disciplines. As a doctoral or graduate student, you’ll investigate new methodologies for applying machine learning to diverse areas, such as personal health informatics, computer security, social networks, computer vision, robotics, natural language understanding, and information retrieval.
At Khoury College, we develop new algorithms and real-world techniques that push the boundaries of supervised, semi-supervised, and unsupervised learning. Our machine learning research has widespread application across a number of disciplines. As a doctoral or graduate student, you’ll investigate new methodologies for applying machine learning to diverse areas, such as personal health informatics, computer security, social networks, computer vision, robotics, natural language understanding, and information retrieval.
At Khoury College, we develop new algorithms and real-world techniques that push the boundaries of supervised, semi-supervised, and unsupervised learning. Our machine learning research has widespread application across a number of disciplines. As a doctoral or graduate student, you’ll investigate new methodologies for applying machine learning to diverse areas, such as personal health informatics, computer security, social networks, computer vision, robotics, natural language understanding, and information retrieval.
