Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
JAVONA WHITE BEAR

JAVONA WHITE BEAR
Data Scientist and Advisory Software Engineer, IBM

Jay White Bear is a data scientist and advisory software engineer at IBM. Jay holds a degree in computer science from the University of Michigan, where her work focused on databases, machine learning, computational biology, and cryptography. Jay has also done work on multiobjective optimization, computational biology, and bioinformatics at the University of California, San Francisco and machine learning, multiobjective optimization for path planning, and cryptography at McGill University.

Sessions

12:00pm12:30pm Tuesday, March 14, 2017
DTL, Sensors, IOT & Industrial Internet, Strata Business Summit
Location: LL20 B Level: Intermediate
The simultaneous localization and mapping (SLAM) problem is the cutting edge of robotics for autonomous vehicles and a key challenge in both industry and research. Jay White Bear shares a new integrated framework that demonstrates a constrained SLAM using online algorithms to navigate and map in real time using the Turtlebot II. Read more.