Data Science Colloquium Series 2 -3 pm, NKN Hall Bayesian Data Analysis R. S. Milton SSN College. 08-11-19 Abstract The talk is about Bayesian inference and data analysis, and why it is useful. In fitting a model to a dataset, it is important to model the uncertainty and take advantage of our prior beliefs about the model parameters. We will discuss about how simulation is used to approximate posterior and predictive distributions. We will see that, with probabilistic programming, we can decouple inference from modeling (model-agnostic inference). We will also discuss how it allows us do model checking and improvement quickly. About the speaker Dr. R. S. Milton is a professor of Computer Science and Engineering at SSN since January 2010. He has been teaching for 30 years. He received his B.E. degree with Honors in Electronics and Communication Engineering from Thiagarajar College of Engineering, Maduari and M.E. in Computer Science and Engineering from College of Engineering Guindy, and Ph.D. in Information and Communication Engineering (Rough Set Theory and Relational Learning), from Anna University , Chennai. He worked in Madras Christian College, Chennai, from 1993 to 2010. He is a member of the Machine Learning Research Group of SSN and his research interests include Statistical Relational Learning, Bayesian Natural Language Processing, and Computer Science Education. He has published over 30 papers in International Conferences and Journals.
|