Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Bargava Subramanian

Bargava Subramanian
Cofounder, Machine Learning Engineer, Binaize Labs

Website | @bargava

Bargava Subramanian is a cofounder and machine learning engineer of the boutique AI firm Binaize Labs in Bangalore, India. He has 15 years’ experience delivering business analytics and machine learning solutions to B2B companies, and he mentors organizations in their data science journey. He holds a master’s degree from the University of Maryland, College Park. He’s an ardent NBA fan.

Sessions

16:3517:15 Wednesday, 23 May 2018
Data science and machine learning, Visualization and user experience
Location: Capital Suite 14 Level: Beginner
Secondary topics:  Visualization, Design, and UX
Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
Average rating: *****
(5.00, 1 rating)
Creating visualizations for data science requires an interactive setup that works at scale. Bargava Subramanian and Amit Kapoor explore the key architectural design considerations for such a system and discuss the four key trade-offs in this design space: rendering for data scale, computation for interaction speed, adapting to data complexity, and being responsive to data velocity. Read more.
16:3517:15 Thursday, 24 May 2018
Data science and machine learning, Visualization and user experience
Location: Capital Suite 13 Level: Intermediate
Amit Kapoor (narrativeVIZ), Bargava Subramanian (Binaize Labs)
Amit Kapoor and Bargava Subramanian lead three live demos of deep learning (DL) done in the browser—building explorable explanations to aid insight, building model inference applications, and rapid prototyping and training an ML model—using the emerging client-side JavaScript libraries for DL. Read more.