Sökning: "ML Asset Taxonomy"
Hittade 1 avhandling innehållade orden ML Asset Taxonomy.
1. Towards Next-Gen Machine Learning Asset Management Tools
Sammanfattning : Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts (i.e., assets) are replaced by ML-related assets, introducing multiple system development and production challenges. LÄS MER
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