Toward efficient data science: A comprehensive MLOps template for collaborative code development and automation
In the era of big data analytics and AI applications, data provenance is as important as ever, particularly as applications emerge in vital industries like healthcare. Additionally, as the suites of tools and packages grow exponentially, code transparency and experiment record keeping are essential...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-05-01
|
| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711024000943 |