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SAS Viya 3.5 is a powerful platform that provides advanced analytics and data visualization capabilities to businesses, helping them to derive strategic insights from their data. The Natural Language Processing and Computer Vision tools within SAS Viya 3.5 are designed to help organizations improve their decision-making process by using machine learning algorithms to analyze text, images, and videos. SAS Viya 3.5 Natural Language Processing and Computer Vision certification exam is essential for professionals who are working in the areas of data science, artificial intelligence, and machine learning.
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SASInstitute A00-405 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Extract terms and concepts using Concepts and Text Parsing nodes - Extract topics using the Topics node - Identify documents via category rules - Build and apply Recurrent Neural Networks (RNN) - Write concept rules |
| Topic 2: Loading and Exploring Data | 20% | - Load and prepare image data - Import documents for analysis - Create and explore a project in SAS Visual Text Analytics |
| Topic 3: Identifying Image Patterns Using Computer Vision Techniques | 38% | - Apply padding and pooling techniques - Score new image data - Apply regularization and interpret architecture impact - Tune CNN hyperparameters - Use convolutional layers in CNN - Configure fully connected and output layers |
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