Machine Learning Question Preview (ID: 61566)
Foundations Of Artificial Intelligence.
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Facial Recognition
a) A biometric technology that looks for unique measurements in an individual’s face.
b) When a person is place in a situation an confronted by the choice of what act to perform
c) A computer that develops its own set of instructions based on information that users feed it.
d)
Machine Learning
a) Type of software that can process information on its own .
b) Systematic and repeatable errors in a computer system that creat unfair outcomes
c) A computer program that develops its own set of instructions based on information that users feed it
d) Uses a variety of sensors to navigate like a traditional vehicle but without human intervention.
Self-Driving Car
a) Systematic and repeatable errors in a computer system that create unfair outcomes
b) Uses a variety of sensors to navigate laike a traditional vehicle but without human intervention.
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.
Algorithmic Bias
a) A biometric technology that looks for unique measurements in an individual’s face.
b) Systematic and repeatable errors in a computer system that create unfair outcomes.
c) Uses a variety of sensors to navigate like a traditional vehicle buth without human intervention
d) Type of software that can process information on its own without human intervention.
Artificial Intelligence
a) A biometric technology that looks for unique measurements in an individual’s face.
b) Attempts to copy the way the human brain works
c) Type of software that can process information on its own without human intervention
d) Systematic and repeatable errors in a computer system that create unfair outcomes.
What is A.I?
a) Intelligence demonstrated by machines
b) Ingenuity demonstrated by humans
c) When computers pretend to be human
d) When hackers pretend to be computers?
Model
a) A computer program designed to make a decision
b) When a decision favors some things and de-prioritizes or excules others
c) the output you are trying to decide or predict with a model
d)
supervised learning
a) when a human trains a model to learn with examples
b) how computers recognize patterns and make decisions
c) giving examples to a model so it can learn
d) a computer program designed to make a decision
Training
a) giving examples to a model so it can learn
b) guidelines for good behavior
c) a computer program designed to make a decision
d) data that can be separated into groups
unsupervised learning
a) when a moel trains itself to learn
b) data that can be separtaed into groups
c) idk
d) learning machines
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