Presentation at the 48th IEEE Computer, Software, and Applications Conference (COMPSAC 2024) held in Osaka, Japan.
This talk will review big data and machine learning operations in official statistics: MLOps and feature store adoption.
In this talk, we'll explore the latest advancements in Big Data and Machine Learning Operations (MLOps) and how feature stores are revolutionizing the landscape of official statistics, practical applications, and case studies in the field.
We hope this talk provides an opportunity to gain valuable insights and engage with cutting-edge data science, machine learning, and official statistics research.
Carlos Nunes
/ carlos-nunes-614117149
Research details of Afshin Ashofteh:
novaresearch.u...
Citation:
Nunes, C., & Ashofteh, A. (2024). A Review of Big Data and Machine Learning Operations in Official Statistics: MLOps and Feature Store Adoption. 711-718. Proceeding of IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Osaka, Japan, on July 2-4, 2024. DOI 10.1109/COMPSAC61105.2024.00101
29 авг 2024