MLOps Types - Global
ML MLOps Types
MLOps classification code ML covers "MLOps Types" at level 1 of the MLOps hierarchy.
Level 116 direct subcategories1 cross-system mapping
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ML in other classification systems
Equivalent and related codes across 1 other system. Click any code to see its full definition, hierarchy, and crosswalks.
Subcategories of ML MLOps Types
- ML.01Model Training Pipeline
- ML.02Model Serving Infrastructure
- ML.03Experiment Tracking
- ML.04Model Monitoring
- ML.05Data Drift Detection
- ML.06Model Drift Detection
- ML.07A/B Testing (Model)
- ML.08Shadow Deployment
- ML.09Model Explainability
- ML.10Feature Pipeline
- ML.11Training Data Management
- ML.12Model Compression
- ML.13Edge ML Deployment
- ML.14LLMOps
- ML.15ML Platform Architecture
- ML.16Responsible AI Pipeline
Frequently asked questions
- What is MLOps ML?
- MLOps ML is "MLOps Types". MLOps code ML covers "MLOps Types" at level 1 of the MLOps hierarchy.
- What does MLOps ML include?
- ML MLOps Types contains 16 direct subcategories: ML.01 Model Training Pipeline; ML.02 Model Serving Infrastructure; ML.03 Experiment Tracking; ML.04 Model Monitoring; ML.05 Data Drift Detection; ML.06 Model Drift Detection; and more.
- How does MLOps ML map to other classification systems?
- ML MLOps Types has equivalents in NAICS 2022 (5419). These crosswalks let you translate this code between MLOps and 1 other classification system.
- What is the parent category of ML?
- ML MLOps Types sits under ML MLOps Types in the MLOps hierarchy.
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