Bayesian Inference and Machine Learning – Dr. Hari Koduvely, Zighra Inc
October 30, 2018 at 1:30 PM to 3:30 PM
|Location:||5345 Herzberg Laboratories|
|Key Contact:||Kathryn Elliott|
|Contact Phone:||613-520-2600 x3244|
In this talk…
Dr. Hari Koduvely will discuss how Bayesian Inference is useful for Machine Learning. Bayesian methods allow for more accurate predictions under uncertainty and with less amount of data. When applied to very complex models such as Deep Neural Networks, they would help in automatic tuning of hyperparameters and efficient compression of the models. Dr. Koduvely will present a brief introduction to Bayesian Inference and some examples of machine learning models where Bayesian methods are used very effectively.
About the Speaker
Dr. Hari Koduvely, Chief Data Scientist of Zighra Inc in Ottawa.
Prior to moving to Canada, Dr. Koduvely worked as Senior/Principal Data Scientist for Amazon and Samsung R&D Institute in Bangalore, India. He has a PhD in Statistical Physics from Tata Institute of Fundamental Research in Mumbai, India and has done post doctoral research from Weizmann Institute of Science, Israel and Georgia Institute of Technology, USA. He has published several papers in the area of Bayesian Machine Learning including a book titled Learning Bayesian Models with R.
SPACE IS LIMITED.
Please arrive 5-10 minutes early to check in at the registration desk, grab coffee or a snack and get seated. See our Seminar FAQ for more information.
Please note that photos or video may be taken at the event which may later be used in print and online media produced by the Carleton University Institute for Data Science. For any questions or concerns, please contact Kathryn Elliott (email@example.com).