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Nested Sampling: Past, Present, and Future (Dr. Joshua Speagle)

Dr. Speagle will provide an overview of Nested Sampling, a complementary framework to Markov Chain Monte Carlo approaches that is designed to estimate marginal likelihoods (i.e. Bayesian evidences) and posterior distributions. He will start by discussing some of the technical details and history behind the approach, focusing on its motivation, formulation, and execution (the Past).

Career Information Conversation: Credit Risk Analytics with Canadian Tire Bank

Join the Credit Management and Banking Operations division from Canadian Tire Bank for a discussion (with pizza!) on what they do and how your background in math, stats or computer science could be the perfect fit for a career as a data scientist.  Enjoy casual conversation with data scientists and managers, as they discuss a variety topics in the areas of data extraction, machine-learning model development and general analytics workflow, with examples of how it’s being used within the bank.  Questions about a day in the life of a CTB data scientist?

Departmental Colloquium Series: Fionntan Roukema

Speaker: Fionntan Roukema Title: An unapologetic approach to calculus Abstract: This talk is about two mathematical arguments of outstanding beauty. The arguments will touch your mathematical soul, and leave you with a visceral connection to the beauty and power of calculus! Regardless of how jaded you feel about teaching or learning integration, seeing these two historical arguments will leave you feeling invigorated.

Machine Learning in Diagnostic Testing: The Next Generation of Electrochemical Sensor Solutions

Join Kate Riley, the Chief Executive Officer at eye3concepts inc. for their upcoming talk! Kate has extensive experience launching and growing businesses in the cannabis and technology sectors with multiple exits. Prior to her entrepreneurial ventures, Kate was a consultant at McKinsey & Company, and a law clerk to Justice Rosalie Abella at the Supreme Court of Canada. Kate holds degrees in Chemical Engineering and law.

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