graph machine learning Archives

New algorithms help data scientists connect data points from multiple sources to solve high-risk problems

Fraud and cybercrime are highly complex problems that often require immense amounts of connected and extraordinarily dense data to be organised and interpreted. One of the challenges data scientists face when dealing with connected data is how to understand relationships between entities, as opposed to looking at data in silos, to provide a much deeper understanding of the problem. Open source graph...

Visualisation

Making Machine Learning User Friendly

Nhung Nguyen, UX Designer at CSIRO’s Data61, on making graph machine learning a user-friendly experience. As a User Experience designer at CSIRO’s Data61, I analyse all aspects of a user’s interaction with a company, its services, its product, and online platform. What drives us is designing meaningful products that are intuitive, meet user needs, and...

Strategic Insights

Closing in on online hate speech with graph machine learning

Over three decades, the Internet has grown from a small network of computers used by research scientists to communicate and exchange data to a medium that has penetrated almost every aspect of our day-to-day lives. It’s hard to imagine a life without online access for business, shopping, and socialising. But a technology that has connected...

Graph machine learning

New algorithms help data scientists connect data points from multiple sources to solve high-risk problems

Making Machine Learning User Friendly

Closing in on online hate speech with graph machine learning

Follow the Algorithm!