This webinar is part of the Introduction to Data Science Webinar Series

Introductory session

• Regression with many correlated variables
• Automatic variable seletion, early approaches and problems
• Gradient descent
• Regularization (L1 vs L2 vs ElasticNet)

Watch recorded presentation below.
 

This webinar is part of the Introduction to Data Science Webinar Series

Practicum session

• What is machine learning?
• Supervised vs unsupervised learning
• Model- and kernel-based methods
• Measures of accuracy (test/train and cross-validation)
• Causality and accuracy
• Unsupervised learning as feature reduction

Watch recorded presentation b

This webinar is part of the Introduction to Data Science Webinar Series

Introductory session

• What is machine learning?
• Supervised vs unsupervised learning
• Model- and kernel-based methods
• Measures of accuracy (test/train and cross-validation)
• Causality and accuracy
• Unsupervised learning as feature reduction

Watch recorded presentatio

This webinar is part of the Power of Population Data Science Series

Canada’s federal structure creates complexities for pan-Canadian health research. Although the healthcare system is funded at both the provincial and federal government level, responsibility for managing healthcare falls to provinces and territories (PTs). In the areas of mental illness and substance use more specifically, capacity for data collection and reporting varies across PTs.

This webinar is part of the Power of Population Data Science Series

Visualising results of statistical modeling is a key component of data science workflow. Statistical graphs are often the best means to explain and promote research findings.  However, in order to find that one graph that tells the story worth sharing, we sometimes have to try out and sift through many data visualizations. How should we approach such a task?

This webinar is part of the Power of Population Data Science Series

Several countries have developed national immunisation registers, but only the Nordic countries have linked their registers to other health data in order to comprehensively evaluate the ‘real world’ effectiveness of vaccines.

This webinar is part of the Power of Population Data Science Series

Probabilistic linkage as currently implemented is probabilistic in name only. The application of thresholds and clerical review reduce probabilistic linkage to being essentially deterministic once more; all record pairs are treated as either links or nonlinks.

This webinar is part of the Power of Population Data Science Series

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations in near real time using linked datasets that are large, complex, and diverse.

This webinar is part of the Power of Population Data Science Series

In the United States, state and local agencies administering government assistance programs have in their administrative data a powerful resource for policy analysis to inform evaluation and guide improvement of their programs. Understanding different aspects of their administrative data quality is critical to guide informed use of such data files for analyses.