Hi, all. Please join us again in February! Info below. Comcast will also do a short talk on their use of H2O's Sparkling Water.
IMPORTANT REGISTRATION INFO:
ALL VISITORS TO 1110 VERMONT MUST BE PRE-REGISTERED W/SECURITY SO PLEASE RSVP W/YOUR FIRST & LAST NAME AND BRING A PHOTO ID FOR CHECK-IN. YOU MUST ARRIVE BY 6:30 TO GAIN ENTRY.
H2O Rains with Databricks Cloud
"Big Data science requires powerful tools to produce best possible results: Spark provides computation platform with powerful data munging API, while H2O provides a set of production ready machine learning algorithms.
The Sparkling Water project combines them together and brings H2O's advanced machine learning algorithms to the Spark ecosystem.
It allows users to use computation power of Spark with machine learning capabilities of H2O including advanced and production ready algorithms like GLM, DeepLearning, GBM, or GLRM. This talk demonstrates how to develop and deploy advanced machine learning worklflow using Databricks platform and Sparkling Water."
Michal is a geek, developer, and Java, Linux, and programming languages enthusiast developing software for over 10 years. He obtained his PhD from Charles University in Prague in 2012 and pursued a post-doc at Purdue University. During his studies, he was interested in the construction of distributed, embedded, and real-time component-based systems using model-driven methods and domain-specific languages. He participated in the design and development of various systems, including SOFA and Fractal component systems or jPapabench control system.
PARKING & METRO
In addition to street parking (metered during the day but no time limit after 6pm) there are several parking garages near-by…including one in/under the Comcast building (see info below). Comcast is also an easy walk from 2 metro stations.
McPherson Square is 0.2 miles from the office (Blue/Orange/Silver lines): http://goo.gl/maps/PIdmB
Farragut North is 0.4 miles from the office (Red line): https://goo.gl/maps/tqi5m
1110 Garage Hours of Operation
7:00 AM to 1:00 AM