Data and Decision Science Network Meeting - Machine Learning Taster
A gentle introduction for any researchers curious about what machine learning is (and isn't)
Date and time
Wed, 6 Oct 2021 6:00 PM - 7:30 PM PDT
Location
Online
A gentle introduction for any researchers curious about what machine learning is (and isn't)
Online
Presenter: Professor Alberto Nettel-Aguirre, UOW
The taster will be an introduction to machine learning. Topics covered include:
What do we mean by Machine learning? (main concepts, types: supervised/unsupervised)
Is more complex necessarily better? (Trade-offs of bias and variability regarding complexity)
Don’t overfit: Training-Testing data, What is cross-validation and how it works, why use it?
Nutshell intro (by example) to some of the most “common” supervised learning techniques: Classification and regression trees, K-nearest neighbours, support vector machines.