Brock University Canada’s Professor Delivers a Technical Talk on ‘Statistics for Data Science in AI’ in KICS UET
An invited talk was organized by KICS UET Lahore on the topic of ‘Statistics for Data Science in AI, ML and DL’ on 16th November 2018 at Seminar Hall of the institute. Dr. Syed Ejaz Ahmed was the invited speaker, who is the professor of Statistics and Dean of the Faculty of Math and Science at Brock University, Canada. Previously, he was a professor and the head of the mathematics and statistics department at the University of Windsor, Canada and University of Regina, Canada as well as assistant professor at the University of the Western Ontario, Canada. He holds adjunct professorship positions at many Canadian and International universities. He has supervised numerous PhD and organized several international workshops and conferences around the globe. His repertoire also includes the fellowship of the American Statistical Association and Royal Statistical Society in addition to many other distinctions. Besides, he is the editor and associate editor of many scientific journals. Dr. Syed has published more than 175 articles in influential journals and reviewed more than 100 books.
This talk focused on the development of statistical and computational strategies for a sparse regression model in the presence of mixed signals. He described that the existing prediction methods were often ignored contributions from weak signals – however, in reality, many predictors altogether provided useful information for prediction, although the amount of such useful information in a single predictor might have been modest. Dr. Syed then revealed that the search for such signals, sometimes called networks or pathways, was for instance an important topic for those working on personalized medicine and other related business fields. He also told that a new “post selection shrinkage estimation strategy” was developed which took into account the joint impact of both strong and weak signals to improve the prediction accuracy, and opened pathways for further research in such scenarios.
Students, researchers, staff and faculty members attended this talk.
Posted on: November 16, 2018 Muzammil Hassan