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Machine Learning
Test Description: Foundations of Artificial Intelligence.
Instructions: Answer all questions to get your test result.
1) Facial Recognition
A
A computer that develops its own set of instructions based on information that users feed it.
B
When a person is place in a situation an confronted by the choice of what act to perform
C
A biometric technology that looks for unique measurements in an individual’s face.
2) Machine Learning
A
A computer program that develops its own set of instructions based on information that users feed it
B
Uses a variety of sensors to navigate like a traditional vehicle but without human intervention.
C
Systematic and repeatable errors in a computer system that creat unfair outcomes
D
Type of software that can process information on its own .
3) Self-Driving Car
A
Uses a variety of sensors to navigate laike a traditional vehicle but without human intervention.
B
Systematic and repeatable errors in a computer system that create unfair outcomes
C
A biometric technology that looks for unique measurements in an individual’s face.
D
A computer program designed to simulate conversation with human users.
4) Algorithmic Bias
A
Type of software that can process information on its own without human intervention.
B
Uses a variety of sensors to navigate like a traditional vehicle buth without human intervention
C
Systematic and repeatable errors in a computer system that create unfair outcomes.
D
A biometric technology that looks for unique measurements in an individual’s face.
5) Artificial Intelligence
A
Systematic and repeatable errors in a computer system that create unfair outcomes.
B
Type of software that can process information on its own without human intervention
C
Attempts to copy the way the human brain works
D
A biometric technology that looks for unique measurements in an individual’s face.
6) What is A.I?
A
When hackers pretend to be computers?
B
Intelligence demonstrated by machines
C
Ingenuity demonstrated by humans
D
When computers pretend to be human
7) Model
A
A computer program designed to make a decision
B
the output you are trying to decide or predict with a model
C
When a decision favors some things and de-prioritizes or excules others
8) supervised learning
A
giving examples to a model so it can learn
B
a computer program designed to make a decision
C
how computers recognize patterns and make decisions
D
when a human trains a model to learn with examples
9) Training
A
data that can be separated into groups
B
a computer program designed to make a decision
C
guidelines for good behavior
D
giving examples to a model so it can learn
10) unsupervised learning
A
idk
B
data that can be separtaed into groups
C
when a moel trains itself to learn
D
learning machines
*select an answer for all questions
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