arrow
Return

Research for Practice: Prediction-Serving Systems

delete2018-07-23
delete6
PRE
AI
D
Dan Crankshaw *
J
Joseph E. Gonzalez
DOI:10.1145/3190574delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This installment of Research for Practice features a curated selection from Dan Crankshaw and Joey Gonzalez, who provide an overview of machine learning serving systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Communications of the ACM cover
Communications of the ACM
IF:
12.2
Papers:
1.2W
Citations:
3.7W

Organization

U
University of California Berkeley
Scholars:
3.5W
Papers: 2.8W
Citations: 11.3W
University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
Cited Papers

Cited Papers

No cited papers available