Machine Learning

  1. Machine Learning Operations and Deployment
    1. ML Lifecycle Management
      1. Problem Definition and Scoping
        1. Business Objectives
          1. Success Metrics
            1. Constraints and Requirements
              1. Feasibility Assessment
              2. Data Strategy
                1. Data Collection Planning
                  1. Data Quality Requirements
                    1. Privacy and Compliance
                      1. Data Governance
                      2. Model Development Process
                        1. Experimentation Framework
                          1. Version Control for ML
                            1. Reproducibility
                              1. Documentation Standards
                              2. Model Validation and Testing
                                1. Validation Strategies
                                  1. A/B Testing
                                    1. Shadow Mode Testing
                                      1. Canary Deployments
                                    2. Model Deployment
                                      1. Deployment Patterns
                                        1. Batch Prediction
                                          1. Real-Time Prediction
                                            1. Edge Deployment
                                              1. Streaming Prediction
                                              2. Model Serving
                                                1. REST APIs
                                                  1. gRPC Services
                                                    1. Message Queues
                                                      1. Serverless Functions
                                                      2. Containerization
                                                        1. Docker Containers
                                                          1. Container Orchestration
                                                            1. Kubernetes for ML
                                                            2. Model Serialization
                                                              1. Pickle
                                                                1. ONNX
                                                                  1. TensorFlow SavedModel
                                                                    1. PyTorch TorchScript
                                                                    2. Scalability Considerations
                                                                      1. Load Balancing
                                                                        1. Auto-Scaling
                                                                          1. Caching Strategies
                                                                            1. Performance Optimization
                                                                          2. Model Monitoring and Maintenance
                                                                            1. Performance Monitoring
                                                                              1. Prediction Quality Metrics
                                                                                1. Latency Monitoring
                                                                                  1. Throughput Monitoring
                                                                                    1. Error Rate Tracking
                                                                                    2. Data Drift Detection
                                                                                      1. Statistical Tests
                                                                                        1. Distribution Comparison
                                                                                          1. Feature Drift
                                                                                            1. Target Drift
                                                                                            2. Model Drift Detection
                                                                                              1. Concept Drift
                                                                                                1. Covariate Shift
                                                                                                  1. Prior Probability Shift
                                                                                                  2. Alerting and Notification
                                                                                                    1. Threshold-Based Alerts
                                                                                                      1. Anomaly-Based Alerts
                                                                                                        1. Escalation Procedures
                                                                                                        2. Model Retraining
                                                                                                          1. Trigger Conditions
                                                                                                            1. Automated Retraining
                                                                                                              1. Incremental Learning
                                                                                                                1. Model Rollback Strategies
                                                                                                                2. Logging and Observability
                                                                                                                  1. Prediction Logging
                                                                                                                    1. Feature Logging
                                                                                                                      1. Model Lineage
                                                                                                                        1. Audit Trails
                                                                                                                      2. Ethical AI and Responsible ML
                                                                                                                        1. Bias and Fairness
                                                                                                                          1. Sources of Bias
                                                                                                                            1. Historical Bias
                                                                                                                              1. Representation Bias
                                                                                                                                1. Measurement Bias
                                                                                                                                  1. Evaluation Bias
                                                                                                                                  2. Fairness Metrics
                                                                                                                                    1. Demographic Parity
                                                                                                                                      1. Equalized Odds
                                                                                                                                        1. Individual Fairness
                                                                                                                                        2. Bias Mitigation Strategies
                                                                                                                                          1. Pre-processing Methods
                                                                                                                                            1. In-processing Methods
                                                                                                                                              1. Post-processing Methods
                                                                                                                                            2. Interpretability and Explainability
                                                                                                                                              1. Model-Agnostic Methods
                                                                                                                                                1. LIME
                                                                                                                                                  1. SHAP
                                                                                                                                                    1. Permutation Importance
                                                                                                                                                      1. Partial Dependence Plots
                                                                                                                                                      2. Model-Specific Methods
                                                                                                                                                        1. Decision Tree Visualization
                                                                                                                                                          1. Linear Model Coefficients
                                                                                                                                                            1. Attention Weights
                                                                                                                                                            2. Global vs. Local Explanations
                                                                                                                                                              1. Counterfactual Explanations
                                                                                                                                                              2. Privacy and Security
                                                                                                                                                                1. Data Privacy
                                                                                                                                                                  1. Data Anonymization
                                                                                                                                                                    1. Differential Privacy
                                                                                                                                                                      1. Federated Learning
                                                                                                                                                                      2. Model Security
                                                                                                                                                                        1. Adversarial Attacks
                                                                                                                                                                          1. Model Inversion
                                                                                                                                                                            1. Membership Inference
                                                                                                                                                                            2. Secure Model Deployment
                                                                                                                                                                              1. Encrypted Inference
                                                                                                                                                                                1. Secure Multi-Party Computation
                                                                                                                                                                              2. Regulatory Compliance
                                                                                                                                                                                1. GDPR Compliance
                                                                                                                                                                                  1. Right to Explanation
                                                                                                                                                                                    1. Algorithmic Accountability
                                                                                                                                                                                      1. Documentation Requirements

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                                                                                                                                                                                  10. Advanced Topics and Specialized Areas

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                                                                                                                                                                                  1. Introduction to Machine Learning