DA-Machine Learning Process ()
DA-Machine Learning Process
Machine Learning Monitor ML Model
Machine Learning Deploy ML Model
Machine Learning Develop ML Model
Machine Learning Annotate Training Dataset (with common Semantics)
Machine Learning Acquire ML Training Dataset
Machine Learning Initiate ML Model development
Deploy ML Model Monitor ML Model
Develop ML Model Train ML Model
Develop ML Model Register ML Model
Develop ML Model Deploy ML Model
Train ML Model Register ML Model
Train ML Model semantically enriched Training Dataset
Train ML Model ML Model
Train ML Model Training Dataset Delivery Package
Register ML Model ML Model
Annotate Training Dataset (with common Semantics) clean/structured data
Annotate Training Dataset (with common Semantics) semantically enriched Training Dataset
Annotate Training Dataset (with common Semantics) Domain Specific Ontology
Annotate Training Dataset (with common Semantics) Develop ML Model
Acquire ML Training Dataset Training Dataset Delivery Package
Acquire ML Training Dataset Annotate Training Dataset (with common Semantics)
Acquire ML Training Dataset clean/structured data
Initiate ML Model development Acquire ML Training Dataset
Initiate ML Model development business problem statement
Initiate ML Model development ML Model Development Mandate
Data Analyst Annotate Training Dataset (with common Semantics)
ML Engineer Develop ML Model
ML Engineer Deploy ML Model
ML Engineer Monitor ML Model
Decision Maker Initiate ML Model development
Business Analyst Initiate ML Model development
ML Engineer Initiate ML Model development
Need for ML Model identified Initiate ML Model development
Data Engineer Acquire ML Training Dataset
Data Engineer Annotate Training Dataset (with common Semantics)
Machine Learning Team Machine Learning