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Studying Software Engineering Patterns for Designing Machine Learning Systems
[article]
2019
arXiv
pre-print
Machine-learning (ML) techniques have become popular in the recent years. ML techniques rely on mathematics and on software engineering. Researchers and practitioners studying best practices for designing ML application systems and software to address the software complexity and quality of ML techniques. Such design practices are often formalized as architecture patterns and design patterns by encapsulating reusable solutions to commonly occurring problems within given contexts. However, to the
arXiv:1910.04736v2
fatcat:za777dv5ujhqrei65gdsoitopa