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Huawei HCIP-AI-EI Developer V2.0 Sample Questions (Q260-Q265):

NEW QUESTION # 260
Transfer learning is a machine learning method in which a pre-trained model is reused in another task.

A. False
B. True

Answer: B

NEW QUESTION # 261
In the process of model training and evaluation, overfitting and underfitting often occur. Which of the following descriptions of overfitting and underfitting is correct?

A. Overfitting refers to a situation where the model does not fit the training data sufficiently.
B. Overfitting is reflected in the evaluation indicators, that is, the model performs well on the training set, but performs poorly on the test set and new data.
C. Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.
D. Underfitting refers to a situation where the model performs well both during training and prediction.

Answer: B

NEW QUESTION # 262
There are two main methods for semi-supervised learning: one is to perform unsupervised clustering first and then supervised learning. The other is Self-Learning.

A. False
B. True

Answer: B

NEW QUESTION # 263
In certain areas, artificial intelligence is approaching or surpassing human capabilities.

A. False
B. True

Answer: B

NEW QUESTION # 264
Which of the following is not a difficulty in named entity recognition?

A. Complex nesting
B. Large quantity
C. Uniform length
D. Complex rules

Answer: C

NEW QUESTION # 265
......

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H13-321_V2.0 reliable test collection & H13-321_V2.0 latest exam guide & H13-321_V2.0 exam study solutions

H13-321_V2.0 Exam Sims & New H13-321_V2.0 Exam Experience

Huawei HCIP-AI-EI Developer V2.0 Sample Questions (Q260-Q265):

Huawei H13-321_V2.0 Updated Testkings: HCIP-AI-EI Developer V2.0 - ITCertMagic Official Pass Certify

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