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SASInstitute A00-408 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identifying Image Patterns Using Computer Vision Techniques | 38% | - Tune CNN hyperparameters - Use convolutional layers in a Convolutional Neural Network (CNN) - Use fully connected layers in a CNN - Score new image data - Apply regularization techniques - Use output layers in a CNN - Use pooling in a CNN - Use padding in a CNN |
| Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Use Recurrent Neural Networks (RNN) to recognize patterns - Use rules to identify documents belonging to specific categories - Use Concepts and Text Parsing Nodes to extract terms and concepts - Write category rules - Use Topics Node to extract machine-generated topics - Write concept rules |
| Loading and Exploring Data | 20% | - Load and prepare image data - Create and explore a project in SAS Visual Text Analytics - Import documents for analysis |
