Machine Learning Quiz for Kids
Quiz
•
Computers
•
6th - 8th Grade
•
Practice Problem
•
Medium
Raymond Ballard
Used 4+ times
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Who is credited with giving computers the ability to learn without being explicitly programmed?
John McCarthy
Alan Turing
Arthur Samuel
Grace Hopper
2.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Benjamin, Abigail, and Maya are working on a project. They are debating on what should be their main focus. According to the principles of machine learning, what should they focus on?
Building the hardware for their project
Developing a mobile app for their project
Creating a software application for their project
Studying and constructing algorithms for their project
3.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Which of the following is an example of where machine learning is used?
Social media networking
Online shopping
Weather forecasting
Spam filtering
4.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Michael, Nora, and Abigail are working on a project that involves using machine learning algorithms. What is the main risk they should be aware of?
Increased productivity in their project
Biases in decision-making due to the algorithm
Enhanced security measures in their project
Improved accuracy in their project results
5.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
What do learning algorithms try to predict using patterns from the past?
Future events
Future outcomes
Future stock market prices
Future weather conditions
6.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
In a school science fair, Luna, Aiden, and Henry are demonstrating a machine learning project. Which project among the following can be considered as a complex prediction in machine learning?
Identifying colors in a painting
Facial recognition system to identify students
Counting numbers in a sequence
Recognizing shapes in a picture
7.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
When is machine learning necessary?
When the task is simple
When there are many controlling factors
When there is no data available
When the output is predictable
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