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Presentation: H2O's Driverless AI: An AI that creates AI

Track: AI/Machine Learning without a PhD

Location: Whittle, 3rd flr.

Duration: 5:25pm - 6:15pm

Day of week: Monday

Slides: Download Slides

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Through my kaggle journey to the top spot, I have noticed that many of the things I do as a data scientist can be automated. In fact automation is critical to achieve good scores and promote accountability, ensuring that common pitfalls in the modelling process are prevented. Through automation, data science can be democratized and reach a bigger audience.


In this talk I will share our approach on automating machine learning using H2O’s Driverless AI:

Driverless AI employs the techniques of expert data scientists in an easy-to-use application that helps scale data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.

Speaker: Marios Michailidis

Competitive Data Scientist @h2oai

Marios Michailidis 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 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 , which was developed as part of his PhD at UCL.

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.

Find Marios Michailidis at

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