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Huawei H13-731_V2.0 certification exam is a vendor-neutral certification that is recognized globally. Passing this certification exam demonstrates that you have a comprehensive understanding of big data and data mining, and are capable of designing, implementing, and maintaining big data solutions in complex enterprise environments. HCIE-Big Data-Data Mining V2.0 certification is highly regarded in the IT industry and can help you advance your career and increase your earning potential. Additionally, this certification is a prerequisite for other advanced-level Huawei certifications in big data, such as the HCIE-Big Data-Data Storage V2.0 and HCIE-Big Data-Data Analysis V2.0 certifications.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Data Mining | 8% | - Typical application scenarios - Basic concepts and processes |
| Topic 2: Feature Selection and Dimensionality Reduction | 10% | - PCA, LDA and other reduction techniques - Feature selection methods |
| Topic 3: Model Evaluation and Optimization | 10% | - Overfitting, underfitting, parameter tuning - Evaluation metrics |
| Topic 4: Unsupervised Learning | 12% | - Association rule mining - Clustering algorithms |
| Topic 5: Huawei Big Data & Mining Tools | 15% | - Spark MLlib - FusionInsight Miner - HUAWEI CLOUD MLS |
| Topic 6: Basic Knowledge | 12% | - Mathematical foundations - Python programming basics |
| Topic 7: Data Preprocessing | 15% | - Data cleaning, integration, transformation, reduction - Data quality assessment |
| Topic 8: Supervised Learning | 18% | - Classification algorithms - Regression algorithms |
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