Pattern Discovery with Unsupervised Machine Learning
Open Python Workshop Series - 3
Published on the 24 August 2020
This month, Dr Jack Yang will be continuing his Virtual Python Townhall Series organised by the UNSW Materials and Manufacturing Futures Institute. The title for his next workshop will be:
Pattern Discovery with Unsupervised Machine Learning
In the previous workshop, we discussed the fundamental principles of supervised machine learnings with simple, visualisable examples. In this workshop, Jack will cover another important category of machine learning, namely, the unsupervised machine learning. We live in a complex world and most of the data gathered is multi-dimensional. While we are all capable of visualising trends and discovering patterns in a three-dimensional world, we generally do quite poorly when trying to comprehend complexities beyond that. Unsupervised machine learning can help us to discover intriguing relationships within the data, as well as building sensible two-dimensional projections in order to visualise these relationships. In the past it was not referred to as 鈥渕achine learning鈥 but it was, and still is, widely used across many different fields.
Similar to the previous Python workshops, we will be using simple and visualisable data to demonstrate how it works and Jack will address other cross-cutting aspects of machine learnings that were not discussed in the previous events.
Thank you for your continued support in these workshops and we look forward seeing you again online soon.
