Host: Bit Bootcamp www.bitbootcamp.com (http://www.bitbootcamp.com/)
Abstract: Building Machine Learning Applications with Sparkling Water
Schedule: Pizza and Networking at 6pm. Talk begins at 6:30pm
Location: WeWork 25 Broadway 10th Floor, NY, 10004, New York, NY
Note: Attendees will need to bring an ID to show to security downstairs. We'll need a full guest list (first name, last name, and emails) on the day of the event. Please confirm your registration by emailing Kendall at [masked]
Abstract summary: Building Machine Learning Applications with Sparkling Water: Writing applications which are processing and analyzing large amount of data is still hard. It often requires to design and run Machine Learning experiments in small scale and then consolidate them into a form of application and run them in large scale. There are several distributed machine learning platforms which are trying to mitigate this effort. In this talk we will focus on Sparkling Water which is combining benefits of two platforms – H2O and Spark. H2O is an open-source distributed math-engine providing tuned Machine Learning library, Spark is an execution platform which allows for processing large amount of data. The talk will demonstrate Sparkling Water features and shows its benefits for building rich and robust Machine Learning applications.
Presenter: Michal Malohlava, Software Engineer, H2O.ai
Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years.
He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University.
During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He participated in design and development of various systems including SOFA and Fractal component systems or jPapabench control system.