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Amazon MLS-C01 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 36% | - Hyperparameter tuning - Deep learning concepts - Supervised and unsupervised learning - Algorithm selection and evaluation |
| Machine Learning Implementation and Operations | 20% | - ML pipeline deployment on AWS - Model monitoring and maintenance - CI/CD for ML workflows - Amazon SageMaker usage and operations |
| Exploratory Data Analysis (EDA) | 24% | - Data quality assessment - Data visualization and statistical analysis - Feature correlation and selection |
| Data Engineering | 20% | - Data preprocessing and transformation - Feature engineering pipelines - Data storage and data ingestion |
