Machine Learning Online Quiz, Machine Learning MCQ, W3Schools, Great Learning Quiz

1 .

What is Machine learning?

A)

The autonomous acquisition of knowledge through the use of manual programs

B)

The selective acquisition of knowledge through the use of manual programs

C)

The autonomous acquisition of knowledge through the use of computer programs

D)

The selective acquisition of knowledge through the use of computer programs

Correct Answer : Option (C) : The autonomous acquisition of knowledge through the use of computer programs

Explanation : * Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.

* Machine learning is the autonomous acquisition of knowledge through the use of computer programs.

* Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

2 .

How many types of Machine Learning Techniques?

A)

3

B)

5

C)

7

D)

9

Correct Answer : Option (A) : 3

Explanation : There are three(3) types of Machine Learning techniques, which are Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

3 .

Machine learning is a subset of_________

A)

Data Learining

B)

Deep Learning

C)

Artificial Intelligence

D)

None of the above

Correct Answer : Option (C) : Artificial Intelligence

4 .

Machine Learning is a field of AI consisting of learning algorithms that_________

A)

At executing some task

B)

Over time with experience

C)

Improve their performance

D)

All of the above

Correct Answer : Option (D) : All of the above

5 .

What is true about Machine Learning?

A)

Machine Learning (ML) is that field of computer science

B)

ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.

C)

The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention.

D)

All of the above

Correct Answer : Option (D) : All of the above

Explanation : All statement are true about Machine Learning.

6 .

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

A)

mini-batches

B)

hyperparameters

C)

superparameters

D)

optimizedparameters

Correct Answer : Option (B) : hyperparameters

Explanation : In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called hyperparameters.

7 .

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

A)

Random Forest

B)

Regression

C)

Classification

D)

Decision Tree

Correct Answer : Option (A) : Random Forest

Explanation : The Radom Forest algorithm builds an ensemble of Decision Trees, mostly trained with the bagging method.

8 .

Which of the following statements about regularization is not correct?

A)

Using too large a value of lambda can cause your hypothesis to overfit the data

B)

Using too large a value of lambda can cause your hypothesis to underfit the data.

C)

Using a very large value of lambda cannot hurt the performance of your hypothesis.

D)

None of the above

Correct Answer : Option (D) : None of the above

Explanation : A large value results in a large regularization penalty and therefore, a strong preference for simpler models, which can underfit the data.

9 .

Data points have negetive residual

A)

if they are below the regression line

B)

if they are above the regression line

C)

if the regression line actually passes through the point

D)

None of the above

Correct Answer : Option (A) : if they are below the regression line

10 .

In linear regression, we try to ______ the least square errors of the model to identify the line of best fit.

A)

Change

B)

Maximize

C)

Minimize

D)

None of the above

Correct Answer : Option (C) : Minimize