Technology readiness levels for machine learning systems
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of diligence can lead to technical debt, scope creep and misaligned objectives, model misuse and failures, and expensive consequ...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
Research Square
2021
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