Free PDF Quiz Pass-Sure H13-311_V3.5 - Exam HCIA-AI V3.5 Questions

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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is a professional certification exam that focuses on the field of artificial intelligence. H13-311_V3.5 exam is designed to test your knowledge and skills in the field of AI, including the ability to design and implement AI solutions, as well as to perform AI-related tasks such as data analysis, machine learning, and natural language processing. The Huawei H13-311_V3.5 certification is ideal for professionals who are looking to enhance their career opportunities in the field of AI and machine learning.

Huawei H13-311_V3.5 Exam is a valuable certification for individuals who want to work in the field of AI. HCIA-AI V3.5 certification demonstrates that the candidate has a solid understanding of AI concepts and can apply them to solve real-world business problems. The HCIA-AI V3.5 Exam is recognized globally and is a great way to enhance your resume and increase your job opportunities in the AI industry.

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Huawei HCIA-AI V3.5 Sample Questions (Q343-Q348):

NEW QUESTION # 343
Traditional machine learning and deep learning are the core technologies of artificial intelligence.
There is a slight difference in the engineering process. The following steps.
What you don't need to do in deep learning is:

A. Model evaluation
B. Feature engineering
C. Data cleaning
D. Model building

Answer: B

NEW QUESTION # 344
Which of the following descriptions about Python program are correct? (Multiple choice)

A. Expressions create and process objects
B. statement contains an expression
C. The program consists of modules
D. Module contains statements

Answer: A,B,C,D

NEW QUESTION # 345
Which of the following are the elements of artificial intelligence? (Multiple choice)

A. Algorithm
B. Scene
C. Data
D. Computing power

Answer: A,B,C,D

NEW QUESTION # 346
The loss function reflects the error between the target output and actual output of the neural network.
The commonly used loss function in deep learning is:

A. Hinge Loss function
B. Exponential loss function
C. Mean square loss function
D. Log loss function

Answer: C

NEW QUESTION # 347
Which description is wrong about the hyperparameter?

A. Most machine learning algorithms have hyperparameters.
B. Hyperparameters cannot be modified
C. The value of the hyperparameter is not learned by the algorithm itself.
D. 1-typerparameters are parameters that set values before the algorithm begins learning.

Answer: B

NEW QUESTION # 348
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