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Other Seminars

Other Seminars

Machine Learning & Causal Inference to Improve Community Health in East Africa

February 28, 2022

Speakers:

Laura Balzer

Many studies face the dual challenges of missing data and small sample sizes.

2022 Toronto Workshop on Reproducibility

February 23, 2022 to February 25, 2022

CANSSI Ontario, and the Data Sciences Institute at the University of Toronto (U of T) are excited t

How are the Causes of Complex Disease Distributed in the Human Genome

February 4, 2022

Speakers:

David Balding

The advent of very large, richly-phenotyped and high-quality human genomics datasets, together with the development of models that allow joint anal

Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

November 15, 2021

Speakers:

Munmun De Choudhury

Social media data is being increasingly used to computationally learn about and infer the mental health states of individuals and populations.

Teaching with Computation and Data Science Across the Social Science

October 21, 2021

Speakers:

Michael Widener

Ayobami Laniyonu

Fedor Dokshin

In the first session of the new Computation and Data Science Education Community of Practice (CDS Education CoP), Professors Michael Widener (Depar

Genetic Methods for Biology and Epidemiology

October 1, 2021

Speakers:

Benjamin Neale

Dr.

Bayesian Modelling and Analysis of Challenging Data: Identifying the Intrinsic Dimension of High-Dimensional Data

September 21, 2021

Speakers:

Kerrie Mengersen

One of the challenges of high-dimensional data is identifying the true information contained therein.

Bayesian Modelling and Analysis of Challenging Data: Making New Sources of Data Trustworthy

September 20, 2021

Speakers:

Kerrie Mengersen

Evidence-based decisions depend critically on trustworthy data.

Data Science & Machine Learning at Vanguard

May 17, 2021

Speakers:

Eduardo Fontes

TBC

MScAC Program Info Sessions

May 6, 2021 to August 26, 2021

MScAC is hosting a series of info sessions designed to talk more about the program (from what makes this program unique to how to apply) and about

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