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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 impress...

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 wo...

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 delu...

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 machin...

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

De-Jargoning Machine Learning

There are a lot of terms in the field of machine learning being thrown around interchangeably, we wanted to clear the air and help you under

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