Traditionally, the Data Scientist has worked as a specialist with an input into the IT infrastructure, but with the move to mainstream IT projects, the requirement for integration, planning, security and infrastructure has grown. While the Cross-Industry Standard Process for Data Mining (CRISP-DM) model has served well for single experts and smaller teams, a more comprehensive project control structure is needed.
About the Speaker
Buck Woody, an Applied Data Scientist from Microsoft Research and AI, will explain the Team Data Science Process, or TDSP. This is a comprehensive methodology in use in large-scale Data Science projects around the world, and in use by Microsoft Consulting and Microsoft partners in their practices. You will learn the process, tools and find resources to implement this structure in your Data Science projects, regardless of the technologies you use.