Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Arno Candel

Arno Candel
Chief Architect, H2O.ai

Website | @ArnoCandel

Arno Candel is the chief architect at H2O, a distributed and scalable open source machine-learning platform. Arno is also the main author of H2O’s Deep Learning. Before joining H2O, Arno was a founding senior MTS at Skytree, where he designed and implemented high-performance machine-learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a staff scientist at SLAC National Accelerator Laboratory, where he participated in US DOE scientific computing initiatives and collaborated with CERN on next-generation particle accelerators. Arno received a PhD and master’s degree summa cum laude in physics from ETH Zurich, Switzerland. He has authored dozens of scientific papers and is a sought-after conference speaker.

Sessions

9:05am–9:30am Tuesday, 03/29/2016
Emerging Technologies

Location: Hilton, Almaden Ballroom
Arno Candel (H2O.ai)
Average rating: ****.
(4.00, 3 ratings)
In recent years, deep learning has taken the lead in predictive accuracy in many fields of machine learning, and companies are struggling to keep up with the speed of innovation. Arno Candel demonstrates how successful enterprises can augment simple statistical models with more accurate data-driven models to gain a competitive edge. Read more.