Introduction to Data Science and ML Reasoning
Talk, Nulogy, Toronto, Canada
This talk served as an introduction to the building blocks and modern capabilities of Data Science and Machine Learning.
Talks and Resources
Elementary Tutorial on Artificial Neural Networks
Talk, Brainstation, Toronto, Canada
This hands-on tutorial served as an introduction to the principal concepts around building, training, and understanding Artificial Neural Networks (NNs).
Tutorial on Approximate Bayesian Inference using INLA
Talk, KPMG, Toronto, Canada
This is a direct application of the Integrated Nested Laplacian Approximation (INLA) framework for approximate Bayesian inference. In this tutorial we examined math achievement scores (MathAchieve in the MEMSS library) across schools and individuals as a hierarchical regression problem.
A Taste of Bayesian Hierarchical Models
Talk, Georgian Partners, Toronto, Canada
This talk gives a very brief, conceptual introduction to the Bayesian framework for hierarchical Bayesian models, with a case study of road safety in the City of Toronto.