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Huawei H13-731_V2.0 (HCIE-Big Data-Data Mining V2.0) Certification Exam is a professional certification exam that is designed to test the knowledge and skills of individuals in the field of big data and data mining. HCIE-Big Data-Data Mining V2.0 certification is specifically focused on the Huawei platform, making it a valuable asset for professionals who work with Huawei products and solutions.
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Huawei H13-731_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Supervised Learning | 18% | - Classification algorithms - Regression algorithms |
| Introduction to Data Mining | 8% | - Basic concepts and processes - Typical application scenarios |
| Basic Knowledge | 12% | - Mathematical foundations - Python programming basics |
| Data Preprocessing | 15% | - Data cleaning, integration, transformation, reduction - Data quality assessment |
| Unsupervised Learning | 12% | - Association rule mining - Clustering algorithms |
| Huawei Big Data & Mining Tools | 15% | - HUAWEI CLOUD MLS - Spark MLlib - FusionInsight Miner |
| Model Evaluation and Optimization | 10% | - Overfitting, underfitting, parameter tuning - Evaluation metrics |
| Feature Selection and Dimensionality Reduction | 10% | - PCA, LDA and other reduction techniques - Feature selection methods |
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