A00-405 Exam Dumps - SAS Institute Natural Language and Computer Vision Specialist Questions and Answers

Reduce overfitting

Downsample a feature map

Minimize the toss function

Calculate a softmax

It exhibits the topic named INCURSION

It exhibits one or more of the items used to define the INCURSION concept

It contains the term "incursion" or any of the stemmed versions of "incursion '

It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator

The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node

The "matched documents" feature for a custom PRICE concept in the Concepts node

The term table for a derived PRICE topic in the Topics node

The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node

Users can include nodes from other Model Studio projects, including SAS Visual Forecasting and SAS Visual Data Mining and Machine B. Learning projects, in a SAS Visual Text Analytics pipeline

After creating a project in SAS Visual Text Analytics users can run the project with a different data source

Users can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project

A SAS Visual Text Analytics project created by one user cannot be accessed by another user

The patient was diagnosed with Alzheimer's disease Side effects include decreased cognitive ability and memory issues

Side effects include decreased cognitive ability and memory issue

The patient was diagnosed with Alzheimers disease Side effects include decreased cognitive ability and memory issues

Alzheimer s side effects include decreased cognitive ability and memory issues

Simple Random Sampling

Systematic Sampling

Stratified Random Sampling

Latin Hypercube Sampling

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When a Concept node appears after a Text Parsing node, only kept terms derived by the Text Parsing node can be used in concept creation

When a Concept node is placed after a Text Parsing node: the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Concept node

When the Concept node appears before the Text Parsing node in the pipeline, the spell-checking features of the Concept node produce parent and child terms that show up as synonyms in the term table created by the Text Parsing node

When a Concept node is placed before a Text Parsing node the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Text Parsing node

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