Model Evaluation and Performance Metrics
- How well does the employee evaluate model performance using appropriate metrics?
- Does the employee interpret and analyze model evaluation results?
- Does the employee compare and select the best-performing models?
Model Deployment and Integration
- How does the employee deploy machine learning models into production?
- Does the employee integrate models into existing systems and applications?
- Does the employee monitor model performance in real-world scenarios?
Machine Learning Libraries and Frameworks
- How effectively does the employee use popular machine learning libraries and frameworks?
- Does the employee code machine learning algorithms from scratch when needed?
- Does the employee leverage GPU acceleration for model training?
