Category: Data Science

February 11th marked the International Day for Women and Girls in STEM, and we're thrilled to showcase some remarkable women in STEM at Data Sciences. We sat down with Jenn, Tayrine, Fatima, and Yujie to delve into their experiences in the world of science. Jenn holds a Ph.D. in Human Genetics from McGill University. She is our Vice President of Data and Analytics at Data Sciences. Tayrine holds a Ph.D. in Information and Knowledge Society from the Universitat Oberta de Catalunya in Spain. She is a Research Analyst on the Insights team at Data Sciences. Fatima Smaili holds a Ph.D. in Computer Science from KAUST (King Abdullah University of Science and Technology in Thuwal, Saudi Arabia) and is a Data Scientist at DS. Yujie, a Data Scientist at DS holds a Ph.D. in Biochemical Engineering from Western University.

In the previous blog, I discussed the impact of Machine Learning (ML) in our current world. We ended with two questions: 1. In this brave new world of AI and machine learning (ML), how do we operate? 2. As individuals, groups, businesses, and governments, how do we navigate a landscape filled with ML? We need to understand what we’re working with before we can plan how to move forward. This blog will dive into some of the machinery that makes AI and machine learning work.

For the purposes of this blog, we’re going to be focusing in on machine learning (ML), a subset of AI that focuses on understanding and building methods that let machines “learn”: training data is leveraged by algorithms to improve the performance of models. These models can describe anything that you are trying to predict or classify based on underlying characteristics.