Cloud Data Management and Analysis

  1. Machine Learning and Advanced Analytics
    1. Managed Machine Learning Platforms
      1. Model Development Lifecycle
        1. Data Preparation
          1. Feature Engineering
            1. Data Cleaning
              1. Data Splitting
              2. Model Training
                1. Algorithm Selection
                  1. Hyperparameter Tuning
                    1. Cross-Validation
                    2. Model Evaluation
                      1. Performance Metrics
                        1. Model Validation
                          1. A/B Testing
                          2. Model Deployment
                            1. Batch Inference
                              1. Real-Time Inference
                                1. Model Serving
                              2. Key Platforms
                                1. Amazon SageMaker
                                  1. Built-In Algorithms
                                    1. Model Hosting
                                      1. SageMaker Studio
                                        1. Autopilot for AutoML
                                          1. Ground Truth for Labeling
                                          2. Azure Machine Learning
                                            1. Automated ML
                                              1. Model Registry
                                                1. Designer Interface
                                                  1. Compute Instances
                                                    1. MLflow Integration
                                                    2. Google Vertex AI
                                                      1. End-to-End ML Pipelines
                                                        1. AutoML Capabilities
                                                          1. Model Monitoring
                                                            1. Feature Store
                                                              1. Workbench Environment
                                                          2. Pre-built AI and ML APIs
                                                            1. Vision and Image Recognition
                                                              1. Image Classification
                                                                1. Object Detection
                                                                  1. Optical Character Recognition
                                                                    1. Face Recognition
                                                                      1. Content Moderation
                                                                      2. Natural Language Processing (NLP)
                                                                        1. Text Analysis
                                                                          1. Sentiment Analysis
                                                                            1. Entity Recognition
                                                                              1. Language Translation
                                                                                1. Text Summarization
                                                                                2. Speech-to-Text and Text-to-Speech
                                                                                  1. Audio Transcription
                                                                                    1. Speech Synthesis
                                                                                      1. Speaker Recognition
                                                                                        1. Real-Time Processing
                                                                                        2. Forecasting
                                                                                          1. Time Series Analysis
                                                                                            1. Demand Prediction
                                                                                              1. Anomaly Detection
                                                                                                1. Trend Analysis
                                                                                              2. MLOps (Machine Learning Operations)
                                                                                                1. CI/CD for Machine Learning
                                                                                                  1. Automated Model Training and Deployment
                                                                                                    1. Version Control for Models
                                                                                                      1. Pipeline Automation
                                                                                                        1. Testing Strategies
                                                                                                        2. Model Monitoring and Management
                                                                                                          1. Drift Detection
                                                                                                            1. Data Drift
                                                                                                              1. Concept Drift
                                                                                                                1. Performance Drift
                                                                                                                2. Model Retraining
                                                                                                                  1. Trigger Conditions
                                                                                                                    1. Automated Retraining
                                                                                                                      1. Model Rollback
                                                                                                                      2. A/B Testing for Models
                                                                                                                      3. Feature Stores
                                                                                                                        1. Feature Engineering
                                                                                                                          1. Feature Versioning
                                                                                                                            1. Feature Sharing
                                                                                                                              1. Online and Offline Serving

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                                                                                                                          6. Data Analysis and Business Intelligence (BI)

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                                                                                                                          8. Data Governance and Security