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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 certification exam is designed to test the skills and knowledge of professionals who work with SAS Viya 3.5 Natural Language Processing and Computer Vision. A00-405 exam is a must-have for individuals who want to showcase their expertise in the field of data analytics and artificial intelligence. A00-405 exam is designed to test the candidate's ability to use SAS Viya to analyze unstructured data, apply machine learning algorithms, and develop computer vision models.

Reference: https://www.sas.com/en_ph/certification/exam-content-guides/natural-language-computer-vision-specialist.html

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SASInstitute A00-405 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identifying Text Patterns Using Natural Language Processing Techniques42%- 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 Data20%- 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 Techniques38%- 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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