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NEW QUESTION # 115
Which of the following options is accepted as a Column field name in Document Manager?
Answer: D
NEW QUESTION # 116
When a parent label is deleted in UiPath Communications Mining, what happens to the training data tor that label?
Answer: A
Explanation:
In UiPath Communications Mining, when a parent label is deleted, both the parent and its child labels are removed from the reviewed messages. Additionally, any messages with updated annotations that were associated with those labels are flagged for review to ensure consistency in the training data
NEW QUESTION # 117
What is the definition of Deep Learning?
Answer: B
Explanation:
Deep learning is a subset of machine learning that uses multiple layers of artificial neural networks to learn from data and perform complex tasks. The term "deep" refers to the number of layers in the network, which can range from a few to hundreds or even thousands. Each layer consists of a set of nodes that perform mathematical operations on the input data and pass the output to the next layer. The network learns by adjusting the weights of the connections between the nodes based on the feedback from the desired output.
Deep learning can handle various types of data, such as images, text, speech, or video, and can automatically extract features and patterns from them without human intervention. Deep learning is behind many applications of artificial intelligence, such as computer vision, natural language processing, speech recognition, and generative models123.
References: 1: What is Deep Learning? | IBM 2: What Is Deep Learning? Definition, Examples, and Careers | Coursera 3: Deep learning - Wikipedia
NEW QUESTION # 118
Which of the following extractors can be used for Data Extraction Scope activity?
Answer: B
NEW QUESTION # 119
What is the correct order of recommended steps when introducing new labels into a mature taxonomy?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.
Answer:
Explanation:
* Create the new label by assigning it at least once. This is the initial step to introduce a new category or classification within your data taxonomy.
* Search for instances in the reviewed data where the new label should have been assigned, and apply the label accordingly. This step is crucial for maintaining consistency across your data set.
* Use 'Missed Label' to find all additional missing examples in the reviewed data. This action helps in identifying and rectifying any instances that may have been overlooked during the initial review.
* Check validation to ensure the label is performing as expected, and follow recommended actions if further training is required. Validation is key to assess the accuracy and performance of the new label within the system.
NEW QUESTION # 120
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