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Naming TAs, students, and staff without the explicit consent of the individual in your post will result in a ban. Professors (especially in references to classes) are a gray area and will be subject to moderator judgment. Academic honesty is always an uncomfortable topic and hopefully this will be an unnecessary reminder but here it is. Academic honesty will be strictly enforced, and misconduct dealt with according to the official policy for Academic misconduct at UC Irvine. For additional information, please contact CS Seminar Administrative Coordinator, Mare Stasik, at [email protected] or (949) 824-7651. Seminar Series Archive. Our world runs on information, with more and more aspects of daily life having information technologies and digital systems at their core. Topics such as open-source software, virtual organizations, online political campaigns, digital television, social media, and computer games need to be understood and advanced from both a technical and human perspective simultaneously. These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention.