July 10, 2018

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 impressive visualisations produced by the team over at Small Multiples (det...

June 29, 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, articles we’ve written, and what we’ve got planned for next month.


June 20, 2018

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 trendy cafes are within a five minute walk? The explosion of geospat...

June 12, 2018

Presented at Data Science Sydney, April 2018.

Abstract: With companies like Cambridge Analytica in the news, people are understandably worried about how companies store and handle data about them. Sensitive...

June 1, 2018

Data         Scientist 

Two words, when combined, and placed under one's name on a resume or LinkedIn profile, demonstrably lead to a deluge of job opportunities, random connection...

May 20, 2018

Presented at Data Science Sydney, March 2018

Abstract: Interpretability matters! Machine learning models have been getting more accurate, but also more complex over the past few years. However in many setti...

May 15, 2018

Automatic Machine Learning (Auto-ML) is the toolset that enables people who aren't specialists or engineers to solve problems with machine learning. And it's on the rise. Tools like H2O, DataRobot and...

May 4, 2018

Here's our monthly roundup of Artificial Intelligence and Machine Learning in the news.

May 1, 2018

Machine learning interpretability is an increasingly important, and oft-neglected area. Read on to understand the latest in the emerging area...

April 22, 2018

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 understand exactly what we mean when we say, machine learning.

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