Short Term Courses

        To develop a good understanding of application of various machine learning and statistical methods to solve complex industrial and systems engineering problems. Focus will be on the recent progress made by the scientific and technical community in the field of analytics ranging from decision pertaining to scheduling of maintenance activity for an equipment at a manufacturing plant to real time vehicle routing problem for a logistics company to demand forecasting and price optimization for an online retailer. The course will draw from various case studies and thus emphasis will be on application. The goal of this five-day short-term course on Applied Machine Learning is to provide a broad introduction to the key ideas in machine learning. The topics of the course includes Learning Theories, Linear/Logistics Regression, Artificial Neural Network, Kernel methods and Radial Basis Functions, Support Vector Machines, K-means clustering, Factor Analysis, Principle Component Analysis, Hidden Markov Models, Hands on exercise using R/MATLAB supplemented by research articles and case studies.