2023/08/19 by Samar Wazir, Wazir, Samar, Gautam Siddharth Kashyap +3 · 1 citation
Business, Management and Accounting · #Big Data and Business Intelligence #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2308.10908
openalex publication_date 2023/08/19 · openalex created_date 2023/08/24 · openalex updated_date 2026/07/28
Recently, Machine Learning (ML) has become a widely accepted method for significant progress that is rapidly evolving. Since it employs computational methods to teach machines and produce acceptable answers. The significance of the Machine Learning Operations (MLOps) methods, which can provide acceptable answers for such problems, is examined in this study. To assist in the creation of software that is simple to use, the authors research MLOps methods. To choose the best tool structure for certain projects, the authors also assess the features and operability of various MLOps methods. A total of 22 papers were assessed that attempted to apply the MLOps idea. Finally, the authors admit the scarcity of fully effective MLOps methods based on which advancements can self-regulate by limiting human engagement.