Data platforms and analytics
Project
Sublinear Approximation for Large-scale Data Science
One challenge in large scale data science is that even linear algorithms can result in large data processing cost and long latency, which limit the interactivity of the system and the productivity of data scientists.…
Publication
Gradient Flows in Dataset Space
Publication
Neural Formatting for Spreadsheet Tables
Video
Harmonizing the declarative and imperative in database systems
Most relational database engines allow users to express their intent with both declarative SQL and imperative functions/procedures, and practitioners often combine the two in database applications. But while today’s database systems employ highly sophisticated techniques…
Video
Interview: Juan Migel Lavista, Principal Data Scientist, Microsoft
Juan Migel Lavista is Principal Data Scientist at Microsoft. Held at the Haas School of Business, University of California, Berkeley, the Data Science & Strategy Lecture Series examines the evolving role of “big data” and…
Video
The AI Summit: Juan Lavista (Microsoft) All You Wanted to Know About Big Data and AI, but Were Afraid to Ask
AI Summit : Juan Lavista talking about common pitfalls of AI and Big Data
Video
Juan Miguel Lavista Ferres Big Data Conference @ Santa Clara Silicon Valley
Presentation about the possibilities and risks of Big Data and AI at Santa Clara conference
Video
Juan Miguel Lavista: Everything You Always Wanted to Know About Big Data
*But were afraid to ask Juan Miguel Lavista is Principal Data Scientist at Bing. Held at the Haas School of Business, University of California, Berkeley, the Data Science & Strategy Lecture Series examines the evolving…
Video
PYCON : The importance of experimentation – Juan Lavista Ferres
The importance of randomized controlled experiments
