Marios Michailidis

Talk Abstract: H2O’s Driverless AI – An AI that creates AI! Through my kaggle journey to the top spot, I have noticed that many of the things I do to perform competitively in data challenges can be automated. In fact automation is critical to achieve very predictive scores because while the machine “runs”, I can focus on other aspects of the modelling process to extract the most value. In this talk I will share some of the learnings derived from my kaggle experience and show how you can achieve competitive performance in predictive modelling tasks automatically, using’s Driverless AI.

Bio: Marios Michailidis(@StackNet_) is a competitive data scientist at currently working on Driverless AI – a software that automates machine learning. He holds a Bsc in accounting Finance from the University of Macedonia in Greece, an Msc in Risk Management from the University of Southampton and a PhD in machine learning from the University College London (UCL) with a focus on ensemble modelling. Marios is the creator of kazAnova a freeware GUI for credit scoring and data mining. He  is also the creator of StackNet Meta-Modelling Framework. In his spare time, he loves competing on data science challenges and was ranked 1st out of 500,000 members in the popular data competition platform.