SASInstitute A00-405 dumps - in .pdf

A00-405 pdf
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Q & A: 62 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Q & A: 62 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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SASInstitute A00-405 dumps - Testing Engine

A00-405 Testing Engine
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Q & A: 62 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision : A00-405 Exam Braindumps

SASInstitute A00-405 exam is a comprehensive test that covers a wide range of topics related to natural language processing and computer vision. It includes questions on the fundamentals of NLP and computer vision, as well as more advanced topics such as deep learning and neural networks. Candidates will need to have a solid understanding of these concepts in order to pass the exam.

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

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Professionals who pass the SASInstitute A00-405 certification exam will be able to demonstrate their ability to use SAS Viya 3.5 to analyze and interpret text and image data. They will also be able to demonstrate their proficiency in using SAS Viya 3.5 to build machine learning models for NLP and Computer Vision applications.

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SASInstitute A00-405 Exam Syllabus Topics:

SectionWeightObjectives
Identifying Text Patterns Using Natural Language Processing Techniques42%- Write concept rules
- Extract topics using the Topics node
- Identify documents via category rules
- Extract terms and concepts using Concepts and Text Parsing nodes
- Build and apply Recurrent Neural Networks (RNN)
Loading and Exploring Data20%- Load and prepare image data
- Create and explore a project in SAS Visual Text Analytics
- Import documents for analysis
Identifying Image Patterns Using Computer Vision Techniques38%- Use convolutional layers in CNN
- Configure fully connected and output layers
- Tune CNN hyperparameters
- Score new image data
- Apply padding and pooling techniques
- Apply regularization and interpret architecture impact

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