![]() ![]() At times when these decisions are viewed in the context of the background of the consumers, there is some perceived bias or discrimination. The course aims to provide a foundation for the development of such online methods and for their analysis. One must make online, real-time decisions and continuously improve the performance with the arrival of data and feedback from previous decisions. Prediction, Learning, and Games by Nicolo Cesa-Bianchi and Gabor Lugosi.Īt the heart of most machine learning applications today – like advertisement placement, movie recommendation, and node prediction in evolving networks – is an optimization engine trying to provide the best decision with the information observed thus far in time, i.e.Introduction to Online Convex Optimization by Elad Hazan.This is a fairly new area of machine learning, and there are not many published books, but the following are useful references: Notes for each class will be posted before the lecture. Adjustments may be made to the syllabus based on the findings of this survey. We will also hold a survey in the first week of classes to determine the learning needs of all students: workload, time zone, being quarantined, and other situations that impact their learning. You can review the material using recordings, notes and reference books. We plan to have synchronous lectures with quizzes during class time (see detailed plan below), and therefore, students are required to attend the online lectures. The meeting link of the class is here: Īll classes will be recorded and posted online on canvas. ![]() ![]() The first class will meet synchronously to discuss the course content, policies and an introduction to online learning. Petit Institute, Institute for Data Engineering and ScienceĮmail: hours: TBD via survey for availability or schedule an appointment via email. School of Industrial and Systems Engineering,Īffiliations: Center for Machine Learning, ACO Program, Algorithms and Randomness Center, Physical Internet Lab, Parker H. This is a TENTATIVE SYLLABUS, subject to change, as the pandemic situation develops during the semester and we know more about institute policies.Īssistant Professor and Fouts Family Early Career Professor, Tuesday, Thursday 3:30 pm – 4:45 pm, Remote Synchronous Teaching ![]()
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