SAS Certified Specialist:
Natural Language Processing and Computer Vision Using SAS Viya 3.5
Exam Content Guide
Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.
Loading and Exploring Data (20%)
- Import documents for analysis
- Create and explore a project in SAS® Visual Text Analytics
- Load and prepare image data
Identifying Text Patterns Using Natural Language Processing Techniques (42%)
- Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
- Write concept rules
- Use the Topics Node to extract machine-generated topics
- Use rules to identify documents belonging to specific categories
- Write category rules
- Use a Recurrent Neural Network (RNN) to recognize patterns
Identifying Image Patterns Using Computer Vision Techniques (38%)
- Use convolutional layers in a Convolutional Neural Network (CNN)
- Use padding in a Convolutional Neural Network (CNN)
- Use pooling in a Convolutional Neural Network (CNN)
- Use fully connected layers in a Convolutional Neural Network (CNN)
- Use output layers in a Convolutional Neural Network (CNN)
- Tune the Hyperparameters of a Convolutional Neural Network (CNN)
- Score new image data
- Explain the impact of various architectural designs
- Use regularization techniques
Zusätzliche Ressourcen
Certification Community
Machen Sie mit und werden Sie Teil der Community.
Certified Professional Directory
Ein Register von SAS Certified Professionals.
FAQ
Haben Sie eine Frage? Benötigen Sie mehr Informationen? Wir helfen Ihnen gerne.