Course Description
Machine Learning involves studying how computers can understand complex ideas from experience and data. Machine Learning also has the students working on different research topics like developmental procedures, conceptual structures, robot control systems, improving the control of non-linear and stochastic systems by way of reinforcement feedback, getting hold of patterns in small and larger data bodies; classifying genetic data, making use of learning procedures for improvising optimization algorithms and retrieving or extracting data in normal, natural language.