Marios Michailidis

H20.ai

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 H2O.ai’s Driverless AI.

Bio: Marios Michailidis(@StackNet_) is a competitive data scientist at H2O.ai 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 Kaggle.com data competition platform.

Saturday April 21st , 2018
9:00 am-
5:00 pm
Data Science Festival Mainstage (Ballot ticket only) CodeNode - 10 South Pl, London EC2M 7EB BALLOT TICKETS ARE NOW OPEN Get Tickets Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for…