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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Basics | - Common algorithms overview (regression, classification, clustering) - Supervised and unsupervised learning |
| Computer Vision and NLP Basics | - Image recognition and processing - Natural language processing fundamentals |
| AI Application Practice | - Basic model training and deployment concepts - End-to-end AI solution workflow |
| Data Processing and Feature Engineering | - Feature extraction and selection - Data cleaning and preprocessing |
| Huawei AI Development Platform and Tools | - MindSpore framework introduction - ModelArts platform basics |
| Artificial Intelligence Fundamentals | - AI concepts and development history - AI application scenarios and industry overview |
| Deep Learning Fundamentals | - Neural network basics - CNN and RNN principles |
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