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AI4E M3 Quiz 3

Authored by Stacia Chua

Business

Professional Development

Used 4+ times

AI4E M3 Quiz 3
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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A farmer has a plantation which harvest vegetables. He needs to use some natural pesticides to remove the pest on the vegetables. But it is difficult for him to find out what are the pests that infect the vegetables and apply the right pesticide. He decided to use AI to help him. What is the first step the farmer should do?

Measure the vegetable infection area then use the linear regression to predict

Collect the different images that show the vegetable infections and train with AI computer vision

Record the vegetables infection in speech and train with AI speech recognition

Describe the vegetables infection in text and train with AI Natural Language processing

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You are given a home loan dataset and asked to come up with a way to help companies determine the risk level (between 0.0 to 1.0) of potential borrowers. Which of the following AI approaches is best suited?

Supervised Learning

Reinforcement Learning

Classification

Regression

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You are given a list of music subscription data for individuals. Your boss asks you to find a way to determine the renewal subscription rate in the future. Which of the following AI approaches is best suited?

Classification

Regression

Anomaly Prevention

Linear Learning

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Your boss passes you a set of patient data and wants you to identify which set of symptoms are better to help doctors in deciding whether to prescribe antibiotics. Which of the following AI approaches is best suited?

Classification

Supervised Learning

Regression

Reinforcement learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The city would like to deploy its police officers to determine which car parks have offenses and which do not have any offenses. Which of the following AI approaches is best suited?

Question 5 options:

Anomaly Prevention

Classification

Regression

Linear Learning

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