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AI (Artificial Intelligence)

Total questions: 20

Worksheet time: 22mins

Name
Class
Date
1.

The Python language can use multiple statements on the same line, separated by commas ",".

a)

True

b)

False

2.

Which of the following is not a specific technology of artificial intelligence?

a)

a. Machine translation

b)

b. Semantic understanding

c)

c. Riemann geometry

d)

d. Knowledge map

3.

Deep learning is different from machine learning and there are no unsupervised algorithms.

a)

False

b)

True

4.

What quotation marks can the Python language use? (Multiple Choice)

a)

a. Three quotes

b)

b. Single quotes

c)

c. Double quotes

d)

d.Four quotes

e)

Answers A, B, C are correct

5.

The Python dictionary is identified by "{}", and the internal data consists of the key and its corresponding value.

a)

True

b)

False

6.

What is Machine learning?

a)

a. The selective acquisition of knowledge through the use of manual programs

b)

b. The selective acquisition of knowledge through the use of computer programs

c)

c. he autonomous acquisition of knowledge through the use of manual programs

d)

d. The autonomous acquisition of knowledge through the use of computer programs

7.

What is the concept of reinforcement learning?

a)

a. Learning from environment

b)

b. Learning from unlabeled data

c)

c. Learning from labeled data

d)

d. Learning from Outlier data

8.

A computer program is said to learn from __________ E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with E.

a)

a. Algorithm

b)

b. Training

c)

c. Database

d)

d. Experience

9.

Understanding AI from several sources can be known from expert opinion

a)

a. Automation of activities related to thinking processes, problem solving and learning

b)

b. The study of how to do something so that it becomes better

c)

c. The study of sensing abilities using computational models

d)

d. Answer A, B, C Are Correct

e)

e. All Answers Wrong

10.

Below is the Equation of Logistic Regression

a)
b)
c)
d)
11.

A mathematical function that determines the output of a node, given the inputs.

a)

a. Sigmoid function

b)

b. Transfer function

c)

c.hyperbolic Tangent

d)

d. Activation function

12.

The attributes of the class neuron in python :

a)

a. weights, bias

b)

b. inputs , bias

c)

c. weights,inputs

d)

d. inputs , outputs

13.

when you want to create a numpy array, you have to call numpy‟s array

function like this:

a)

a. X=numpy[1,3]

b)

b. X=numpy.array([1,3])

c)

c. X=array([1,3])

d)

d. X=numpy.array(1,3)

14.

pip install -U scikit-learn

The line of code is used to:

a)

a. Install the library to do math claculations

b)

b. Install the Scikit-learn package

c)

c. Install face recognition files

d)

d. Install Numpy Package

15.

Usage of Random Forest

a)

a. Insert the vector down on each of the trees in the forest.

b)

b. chooses the classification having the most votes over all the trees

c)

c. grows many classification trees

d)

d. Running efficiently on large data bases.

16.

Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition and Robot Navigation are applications of which of the following?

a)

a. Reinforcement Learning.

b)

b. Unsupervised Learning: Regression.

c)

c. Supervised Learning: Classifaction.

d)

d. Unsupervised Learning: Clustering.

17.

Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

a)

a. Classification

b)

b.Decision Tree.

c)

C.Random Forest.

d)

d.Regression.

18.

What is the difference between K-means and KNN Algorithms?

a)

K-Means is used for clustering while KNN is used for classification and regression

b)

K-means is supervised while KNN is unsupervised

c)

K-Means clustering is supervised learning algorithm that is used to group unlabeled datasets into different clusters

19.

Which of the following is FALSE about SVM?

a)

a. SVM has inbuilt L2 regularization capabilities

b)

b. Choosing an appropriate Kernel function is difficult

c)

c. SVM solves both classification and regression problems

d)

d. It does not require any feature scaling

20.

Which of the following is TRUE about Reinforcement Learning?

a)

a. All of the above

b)

b. Chess playing computer is a good example of reinforcement learning

c)

c. It uses rewards and penalty methods to train a model

d)

d. It is also known as a semi - supervised learning model