Data Science

  1. Model Deployment and MLOps
    1. Model Deployment Strategies
      1. Batch Prediction
        1. Scheduled Jobs
          1. Data Pipeline Integration
            1. Performance Monitoring
            2. Real-time Prediction
              1. API Endpoints
                1. Streaming Predictions
                  1. Latency Optimization
                  2. Edge Deployment
                    1. Mobile Devices
                      1. IoT Devices
                        1. Offline Capabilities
                      2. Containerization
                        1. Docker Fundamentals
                          1. Images and Containers
                            1. Dockerfile Creation
                              1. Container Orchestration
                              2. Kubernetes
                                1. Pods and Services
                                  1. Deployments
                                    1. Scaling and Load Balancing
                                  2. Model Serving
                                    1. REST APIs
                                      1. Flask
                                        1. FastAPI
                                          1. Django REST Framework
                                          2. Model Serving Platforms
                                            1. TensorFlow Serving
                                              1. MLflow
                                                1. Seldon Core
                                                  1. KubeFlow
                                                  2. Cloud Deployment
                                                    1. AWS SageMaker
                                                      1. Google AI Platform
                                                        1. Azure Machine Learning
                                                      2. MLOps Practices
                                                        1. Version Control for ML
                                                          1. Model Versioning
                                                            1. Data Versioning
                                                              1. Experiment Tracking
                                                              2. Continuous Integration/Continuous Deployment
                                                                1. Automated Testing
                                                                  1. Model Validation
                                                                    1. Deployment Pipelines
                                                                    2. Monitoring and Observability
                                                                      1. Model Performance Monitoring
                                                                        1. Data Drift Detection
                                                                          1. System Health Monitoring
                                                                            1. Alerting Systems
                                                                            2. Model Governance
                                                                              1. Model Registry
                                                                                1. Approval Workflows
                                                                                  1. Compliance Tracking
                                                                                2. A/B Testing for ML
                                                                                  1. Experimental Design
                                                                                    1. Hypothesis Formation
                                                                                      1. Sample Size Calculation
                                                                                        1. Randomization Strategies
                                                                                        2. Implementation
                                                                                          1. Traffic Splitting
                                                                                            1. Feature Flags
                                                                                              1. Gradual Rollouts
                                                                                              2. Analysis
                                                                                                1. Statistical Testing
                                                                                                  1. Business Metrics
                                                                                                    1. Long-term Effects
                                                                                                  2. Model Maintenance
                                                                                                    1. Model Retraining
                                                                                                      1. Trigger Conditions
                                                                                                        1. Automated Retraining
                                                                                                          1. Human-in-the-loop
                                                                                                          2. Performance Degradation
                                                                                                            1. Causes and Detection
                                                                                                              1. Mitigation Strategies
                                                                                                              2. Model Updates
                                                                                                                1. Backward Compatibility
                                                                                                                  1. Rollback Strategies
                                                                                                                    1. Change Management

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                                                                                                                10. Data Visualization and Communication

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                                                                                                                12. Ethics and Responsible AI