Wednesday 22 November 2017
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8 days ago

Get Competitive with Driverless AI


Recent world #1 Kaggle Grandmaster and Research Data Scientist at H2O.ai, Marios Michailidis, will delve into the competitive edge that Driverless AI brings out of the box. Driverless AI can easily score in the top 5% in popular data science challenges against thousands of participants in a matter of minutes with limited processing power. Apart from the actual predictions, one can use Driverless AI data munging and derived knowledge of the data to build even more powerful models. This webinar discusses how Driverless AI can get competitive scores in popular Kaggle challenges. Also, Marios will explain the concepts of hyper-parameter tuning and stacking and how they help to make stronger predictions. Bio: Former world no.1 Kaggle Grandmaster, Marios Michailidis, is now a Research Data Scientist at H2O.ai. He is finishing his PhD in machine learning at the University College London (UCL) with a focus on ensemble modeling and his previous education entails a B.Sc in Accounting Finance fro

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