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.

Powershell malware detection method based on features combination

no code implementations • Journal of Cyber Security 2021 • LIU Yue, LIU Baoxu, ZHAO Zihao, LIU Chaoge, WANG Xiaoxi, WU Xianda

For this reason, this paper proposes a mali- cious Powershell code detection method based on random forest features combination and deep learning.

Malware Detection