5. AI: Training Data & Bias

5. AI: Training Data & Bias

10 Qs

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5. AI: Training Data & Bias

5. AI: Training Data & Bias

Assessment

Quiz

others

Practice Problem

Hard

Created by

Des O'Connor

Used 1+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main point of the video?

a) The importance of machine learning
b) The role of humans in training computers
c) The significance of quality data in machine learning
d) The potential applications of machine learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to the video, how are training data collected by computers?

a) By directly asking individuals for their input
b) By collecting data from websites and streaming services
c) By using images and medical data
d) By conducting surveys and interviews

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which statement best describes the concept of biased data?

a) Data that is collected from various sources
b) Data that excludes certain elements or biases
c) Data that represents all possible scenarios and users
d) Data that is used to train computers accurately

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can happen if training data is biased?

a) The computer may make accurate predictions
b) The computer may make false predictions
c) The computer may not function properly
d) The computer may require additional training

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role do humans play in training computers, according to the video?

a) Humans provide unbiased data for training
b) Humans program the algorithms using training data
c) Humans collect and analyse the data for machines
d) Humans help computers recognise and diagnose diseases

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the relationship between data and code in machine learning?

a) Data and code are separate entities in machine learning
b) Data is used to program the algorithms instead of code
c) Data and code are interchangeable in machine learning
d) Code is used to collect and analyse the data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the quality of training data affect machine learning?

a) High-quality data improves the learning process
b) The quality of data does not affect machine learning
c) Low-quality data leads to biased predictions
d) The quantity of data is more important than quality

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