Machine Learning Infrastructure and Best Practices for Software Engineers

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Elements of a Machine Learning System

Data and algorithms are crucial for machine learning systems, but they are far from sufficient. Algorithms are the smallest part of a production machine learning system. Machine learning systems also require data, infrastructure, monitoring, and storage to function efficiently. For a large-scale machine learning system, we need to ensure that we can include a good user interface or package model in microservices.

In modern software systems, combining all necessary elements requires different professional competencies – including machine learning/data science engineering expertise, database engineering, software engineering, and finally interaction design. In these professional systems, it is more important ...