A. Variables

B. Tensor

C. Placeholder

D. Conversation

E. Operation

A. lambda is just an expression, and the function body is much simpler than def.

B. The body of a lambda can be an expression or a block of code.

C. The lambda function accepts only one parameter value.

D. The lambda function can access the parameters in the global namespace.

A. Python is often nicknamed glue language, which can easily connect various modules made in other languages.

B. Python syntax is simple and clean. One of the features is to force blank characters to be used as statement indentation.

C. Python is purely free software and the source code follows the GPL (GNU General Public License) protocol.

D. Invented in 1989 by the Dutch Guido van Rossum, the first public release was issued in 1991.

A. Preload data

B. Read from the file

C. Feeding data

D. Write a file format reader

A. P(X) is the posterior probability

B. P(W|X) is a prior probability

C. P(X|W) is a conditional probability

D. P(W) is the posterior probability

A. All results of the test cannot be clarified in advance.

B. There may be more than one possible outcome for each trial, and all possible outcomes of the trial can be clarified in advance.

C. It is not possible to determine which result will appear before conducting a test.

D. It can be repeated under the same conditions.

A. Calculated from the initial values of other variables

B. Constant

C. null

D. Random number

A. None of the above

B. Action

C. Perception

D. Cognition

A. False

B. True

A. Memory door

B. Output door

C. Forget the door

D. Input door

A. False

B. True

A. Vector space

B. Matrix theory

C. Probability theory

D. Linear transformation

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

B. The greater the expectation, the smaller the variance

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

D. Expectation reflects the average level of random variable values

A. False

B. True

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