Intro to OpenAI Gym - presentation and code
To generate some buzz about our upcoming course, Insert AI to Continue, Anthony and Tim presented at the Sydney Data Science Breakfast...
Introducing Deckard for large scale data visualisation
Deckard is our first open source contribution, combining deck.gl with R. We saw the great work done at Uber with deck.gl and some...
Monthly Roundup - June 2018
We’ve had a busy few weeks and wanted to share some of the things we’ve been up to, so below you’ll find some events we’ve been apart of,...
Spatial Analysis in Australia
What data best describes a location? Is it the age of the people living nearby, proximity to a train station, or maybe it's how many tre
Video: Respecting Privacy with Look-Alike Data Sets by Tim Garnsey
Presented at Data Science Sydney, April 2018. Abstract: With companies like Cambridge Analytica in the news, people are understandably...
Why a Professional Body for Data Scientists is a Bad Idea
Data Scientist Two words, when combined, and placed under one's name on a resume or LinkedIn profile, demonstrably lead to a...
Video: Interpretable Machine Learning by Anthony Tockar
Presented at Data Science Sydney, March 2018 Abstract: Interpretability matters! Machine learning models have been getting more accurate,...
Why Auto-ML tools will drive up the cost of Machine Learning
Automatic Machine Learning (Auto-ML) is the toolset that enables people who aren't specialists or engineers to solve problems with...
Monthly Roundup - April 2018
Here's our monthly roundup of Artificial Intelligence and Machine Learning in the news.
Interpretable Machine Learning - a core skill for the competent data scientist
Machine learning interpretability is an increasingly important, and oft-neglected area. Read on to understand the latest in the emerging are