Huawei HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence) - H13-311-ENU무료 덤프문제 풀어보기

A. Beautiful

B. Expensive

C. Explicit

D. Simple

A. Most machine learning algorithms have hyperparameters.

B. Hyperparameters are parameters that set values before the algorithm begins learning.

C. Hyperparameters cannot be modified.

D. The value of the hyperparameter is not learned by the algorithm itself.

A. True

B. False

A. Calculation Chart

B. Tensor

C. Gridding

D. Dot Product

A. int (integer type)

B. float (floating point type)

C. long (long integer type)

D. complex (complex number type)

A. True

B. False

A. The greater the expectation, the smaller the variance

B. Expectation reflects the average level of random variable values

C. The variance reflects the degree of deviation between the random variable and its mathematical expectation

D. Expectation and variance are both numerical characteristics of random variables

A. Unsupervised algorithm only processes "features" and does not process "tags"

B. K-means algorithm and SVM algorithm belong to unsupervised learning

C. None of the above

D. Dimensionality reduction algorithm is not unsupervised learning

A. Mathematical model

B. Programming

C. Numerical calculation method

D. Know the actual problem

E. Computer calculation results

A. Linux

B. Windows

C. Mac OSX

D. DOS

A. Integration method

B. Cross validation

C. Increase regularization

D. Feature Engineering