Abstract: In recent years, the industry has seen rapid growth in AutoML solutions, accelerating data science development and deployment. In this talk, we discuss recent advances in AutoFE and AutoML, enabling automated data preparation starting with multiple raw tables, and the containerization of the end-to-end pipeline, providing a portable environment for both development and deployment.
Bio: Alex Robson is a Data Scientist at dotData, a data science automation company. His work centers on helping data scientists accelerate projects, standardize pipelines, and gain data-driven insights that may otherwise remain undiscovered, all via Auto FE and Auto ML methodologies. Alex has a PhD in Earth and Planetary Science from UC Berkeley.
