Quiz-1 Artificial Intelligence

Quiz-1 Artificial Intelligence

Professional Development

26 Qs

quiz-placeholder

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Quiz-1 Artificial Intelligence

Quiz-1 Artificial Intelligence

Assessment

Quiz

Other

Professional Development

Practice Problem

Hard

Created by

Parvez Panhwar

Used 2+ times

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26 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following task can be solved using supervised learning

Sorting the unwanted plastic from garbage

Categorizing people based on their education level

Identifying nature of the emoji entered

Separating vehicles based on various properties

2.

MULTIPLE SELECT QUESTION

1 min • 1 pt

When should we apply machine learning, select all that apply

The amount of data generated can not be interpreted by hand easily

When data and results are available

When we want to increase data

When data patterns are needed

3.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following is required about target column for high accuracy.

Target column should have non-linear relation with predictors

Target column should have a high correlation value with attributes

Target column should have linear relation with other predictors

Target column should be independent of other columns

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which one of the following statement is correct

All the features should have linear relation with each other

Features should have high correlation with each other

Features should be non-linear with each other

None of the above

5.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Select that are true about un-supervised algorithms

They are only used for classification of data

They can be used to separate the data chunks

They can perform well on categorical data

They are only used when data is not labeled

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is not a classification algorithm

Decision Tree

Support vector machine

Linear regression

Logistic regression

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

For categorical data with normal distribution and zero outliers which algorithm is best

Decision Tree

Linear Regression

Logistic Regression

Linear Discriminant Analysis

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