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
Machine Learning Engineer, Independent

Website | @bargava

Bargava Subramanian is a machine learning engineer based in Bangalore, India. Bargava has 14 years’ experience delivering business analytics solutions to investment banks, entertainment studios, and high-tech companies. He has given talks and conducted numerous workshops on data science, machine learning, deep learning, and optimization in Python and R around the world. He mentors early-stage startups in their data science journey. Bargava holds a master’s degree in statistics from the University of Maryland at College Park. He is an ardent NBA fan.


16:3517:15 Wednesday, 23 May 2018
Data engineering and architecture, Visualization and user experience
Location: Capital Suite 14 Level: Beginner
Secondary topics:  Visualization, Design, and UX
Bargava Subramanian (Independent), Amit Kapoor (narrativeVIZ Consulting)
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 Consulting), Bargava Subramanian (Independent)
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.