Data Scientist


Encyclopedia of Machine Learning and Data Mining

We are delighted to have the second edition of the highly successful Encyclopedia of Machine Learning go live. The revised and expanded second edition has been re-titled the Encyclopedia of …

Usama Fayyad and my keynote addresses at Practical Big Data 2017

Usama Fayyad and my keynote addresses at Practical Big Data 2017. My talk starts at 1:11:00. Posted by Geoff Webb on Thursday, February 2, 2017

Encyclopedia of Machine Learning still most downloaded Springer Reference

It is good to see that the first edition of our Encyclopedia of Machine Learning is still serving the community. #SpringerRefCountdown! #1 most downloaded entry last month: from our …

Two awards in one week!

I am honoured to have received the Australian Computer Society’s ICT Researcher of the Year Award and the Australasian Artificial Intelligence Distinguished Research Contributions Award.

Fun KDD video

Statistical testing of hypothesis streams and cascades

Statistical hypothesis testing was developed in an age when calculations were performed by hand and individual hypotheses were considered in isolation. In the modern information era, it is often desirable …

Did you realise that it is dangerous to assume data are interval scale?

Many machine learning algorithms make an implicit assumption that numeric data are interval scale, specifically, that a unit difference between values has the same meaning irrespective of the magnitude of …

Variety in recent publications

I have had a nice variety of recent papers! Concept drift: Characterizing Concept Drift. Webb, G. I., Hyde, R., Cao, H., Nguyen, H. L., & Petitjean, F.Data Mining and Knowledge …

Francois Petitjean wins Research Impact Award

Congratulations to my colleague Francois Petitjean for winning the Victorian Young Achiever Awards Research Impact Award.

Grant successes

The Australian Research Council has funded the following two projects: Electronic skin nanopatches for continuous blood pressure monitoring Investigators: Prof Wenlong Cheng (Chief Investigator) Prof Andrew Tonkin (Chief Investigator) A/Prof …

ECMLPKDD2015 Tutorial on Scalable Learning of Graphical Models

Our tutorial introduces the key theory and techniques required for creating scalable techniques for learning graphical models.