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Understanding the proper-machine learning apparatus plays a large role in shaping management and deployment of enterprisewide ML products. This assessment guides technical professionals through the optimal technologies and frameworks needed to start and maintain an enterprisewide ML initiative.
Table of Contents
Introducing the Machine-Learning Apparatus
- Operating Model and Governance
- Business Operational Alignment
- Data Science Tools for ML Design and Integrated Development
- Unified Deep Learning Component
- Adaptable Data Management
- Deployment and Productionization/Operationalization (Publishing Platform)
- User Experience
- Infrastructure and Execution Environments
- Tuning and Performance Engineering Models
- Introducing the Machine-Learning Apparatus
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