Intro to Data Science Module 1: Introduction to Machine Learning (Session 1)

11:00 am to 12:00 noon PST | All sessions will be delivered live and online via the Gotowebinar system.

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 presentation below.
 

Presenter

Aman Verma Aman Verma  is a Data Engineer with a PhD in Epidemiology from McGill University, and an undergraduate degree in Computer Science. He has experience in developing machine learning systems with large databases, particularly for scientific data in healthcare. While he’s comfortable learning any programming language, he’s recently become particularly interested in R.

Aman is currently involved in a number of projects, including measuring how following opioid prescription guidelines can decrease the risk of opioid overdose, modelling trajectories of chronic obstructive pulmonary disease, and assessing how to best prioritize ambulance calls using secondary healthcare data.

 

Upcoming events

Upcoming events
Free webinar
Free webinar
Free webinar

Did you miss it?

If you did, it's not too late! 

View all our webinars and more on our YouTube channel

"Population Data BC is a go-to channel for me."
Kay R

What did you think?

Have you watched any of our recorded webinars or presentations?

Please tell us what you think by completing our short survey. Your feedback is very important to us and will help us develop future training courses and webinars.