KRZYZANOWSKI, ROBERT

Topic:  SYBERIA: THE DEVELOPMENT FRAMEWORK FOR R

Abstract: Syberia is a development framework for the R programming language that provides the first open-source structured approach to building large-scale real-time machine learning products in R. The framework allows for rapid construction of ML products and production deployments. It solves the issues Around developer tooling that has historically prevented the full breakout of R into general-purpose computing. Data science and engineering is a vast and scary field with no unanimous consensus on optimal project structure for rapid iteration and deployment. Syberia lays down software engineering tenets and conventions For the construction of arbitrary DSLs (domain-specific languages) for solving machine learning tasks. It can be purposed to the nature of one ‘S academic or business problems and allow one to happened organized use of structured supervised learning, natural language processing, dashboarding & visualization, and other orthogonal tasks related to data analysis.

Bio: He is a graduate student in mathematics at the University of Illinois at Chicago. Director of Data Science Infrastructure at AvantCredit