MLOps Spanning Whole Machine Learning Life Cycle: A Survey

no code implementations • 13 Apr 2023 • Fang Zhengxin, Yuan Yi, Zhang Jingyu, LIU Yue, Mu Yuechen, Lu Qinghua, Xu Xiwei, Wang Jeff, Wang Chen, Zhang Shuai, Chen Shiping

We hope that this paper can serve as a quick reference manual (a survey of surveys) for newcomers (e. g., researchers, practitioners) of ML to get an overview of the MLOps process, as well as a good understanding of the key technologies used in each step of the ML process, and know where to find more details.

Global-Local Metamodel Assisted Two-Stage Optimization via Simulation

no code implementations • 13 Oct 2019 • Wei Xie, Yuan Yi, Hua Zheng

To integrate strategic, tactical and operational decisions, the two-stage optimization has been widely used to guide dynamic decision making.

Decision Making Vocal Bursts Valence Prediction