Machine Learning for HSS

February 16, 2023, 11:30am-1:20pm EST

Presented by: Lucas Nogueira

Duration: 110 minutes

Description: Machine Learning is without a doubt one of the biggest buzzwords in tech in recent times. No wonder - it is what powers many of the innovations we have all grown to love in this last decade: from the autocomplete function and the virtual assistant on your phone, to self-parking cars and the recommender system on your favorite streaming service.

What many people don’t know is that Machine Learning is not new. In fact, it can be seen as nothing more than a change of perspective on a much older field that is well-known to the HSS community: good old Statistics.

In this workshop, we will look beyond the Computer-Science-centered jargon of Machine Learning and show, with examples, how your existing knowledge of Statistics translates into Machine Learning and provides all you need to learn more about this exciting field.

Technical requirements: The hands-on workshop environment will only require a modern Web browser. A second screen is recommended to be able to follow instructions on one screen and write code on a separate screen.

Register here

Le même séminaire en français.

Biography

Lucas Nogueira is a statistics drop-out turned computer engineer and is currently a scientific analyst at Calcul Québec. His interests include machine learning, artificial intelligence and decision making under uncertainty. He believes science has long had a language problem, where things are made to look and feel way more complex than they really are. He holds a Masters of Management Innovation & Entrepreneurship from Queen’s University and a graduate diploma in statistics from Stanford University (he did drop back into stats eventually).