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Huawei H13-311_V3.5 - HCIA-AI V3.5 Marvelous Valid Exam Duration
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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is a globally recognized certification exam that tests an individual's skills and knowledge in the field of artificial intelligence. HCIA-AI V3.5 certification is designed for professionals who have a strong foundation in AI and wish to enhance their skills and expertise to stay ahead of the competition. H13-311_V3.5 Exam covers a wide range of topics related to AI, including machine learning, deep learning, natural language processing, and computer vision.
Huawei HCIA-AI V3.5 Sample Questions (Q270-Q275):
NEW QUESTION # 270
Which of the following statements are true about the k-nearest neighbors (k-NN) algorithm?
- A. k-NN typically uses the majority voting method to predict classification.
- B. k-NN typically uses the mean value method to predict regression.
- C. The k-NN algorithm determines which class an object belongs to based on the class to which most of the object's k nearest neighbors belong.
- D. k-NN is a parametric method often used for datasets with regular decision boundaries.
Answer: A,C
Explanation:
The k-nearest neighbors (k-NN) algorithm is a non-parametric algorithm used for both classification and regression. In classification tasks, it typically uses majority voting to assign a label to a new instance based on the most common class among its nearest neighbors. The algorithm works by calculating the distance (often using Euclidean distance) between the query point and the points in the dataset, and then assigning the query point to the class that is most frequent among its k nearest neighbors.
For regression tasks, k-NN can predict the outcome based on the mean of the values of the k nearest neighbors, although this is less common than its classification use.
NEW QUESTION # 271
TensorFlow It is an end-to-end open source platform for machine learning and deep learning.
Answer: A
NEW QUESTION # 272
Which description is wrong about the lambda function of the Python language?
- A. The lambda function accepts only one parameter value
- B. lambda is just an expression, and the function body is much simpler than def.
- C. The body of a lambda can be an expression or a block of code
- D. The lambda function can access the parameters in the global namespace.
Answer: A
NEW QUESTION # 273
What is the most important difference between batch gradient descent, mini-batch gradient descent, and stochastic gradient descent?
- A. Number of samples used
- B. Learning rate
- C. Gradient direction
- D. Gradient size
Answer: A
NEW QUESTION # 274
In TensorFlow, data is represented in the form of tensors and calculation charts.
Answer: A
NEW QUESTION # 275
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