Rembrandtplein 29-45, 1017 CT, Amsterdam
We are excited to announce our first meetup in Amsterdam with Booking.com. See you there!
6:00 - 6:15pm - Doors open & food
6:15 - 7:00pm - "H2O Latest Development Updates" by Jo-fai
7:00 - 7:45pm - "Different Strategies of Scaling H2O Machine Learning on Apache Spark" by Kuba
7:45 - 8pm - Q&A
Jo-fai (or Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media in UK where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab in US as a data science evangelist promoting products via blogging and giving talks at meetups. Joe has a background in water engineering. Before his data science journey, he was an EngD research engineer at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK and abroad. He also holds a MSc in Environmental Management and a BEng in Civil Engineering.
Jakub (or “Kuba”) finished his bachelor's degree in computer science at Charles University in Prague, and is currently finishing his master’s in software engineering as well. As a bachelor's thesis, Kuba wrote a small platform for distributed computing of tasks of any type. His current master's studies, he’s developing a cluster monitoring tool for JVM based languages which should make debugging and reasoning about performance of distributed systems easier using a concept called distributed stack traces. At H2O, Kuba is a core developer on Sparkling Water project.