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Huawei H13-731_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Unsupervised Learning | 12% | - Association rule mining - Clustering algorithms |
| Model Evaluation and Optimization | 10% | - Evaluation metrics - Overfitting, underfitting, parameter tuning |
| Supervised Learning | 18% | - Classification algorithms - Regression algorithms |
| Feature Selection and Dimensionality Reduction | 10% | - Feature selection methods - PCA, LDA and other reduction techniques |
| Introduction to Data Mining | 8% | - Basic concepts and processes - Typical application scenarios |
| Huawei Big Data & Mining Tools | 15% | - FusionInsight Miner - Spark MLlib - HUAWEI CLOUD MLS |
| Basic Knowledge | 12% | - Python programming basics - Mathematical foundations |
| Data Preprocessing | 15% | - Data quality assessment - Data cleaning, integration, transformation, reduction |



