AI Fundamentals: Machine Learning,
Neural Networks, and Ethical
Considerations Exam Questions and
Answers Graded A+
defintion of ai example siri or alexa - Correct answer-focus on systems that
demostrate learning and decsiosn making from data
distinguish between true ai and automation ai - Correct answer-look for the absesne
of learning or adaptive capability
alrightm as opinions phrase suggested - Correct answer-taht alrogotiryms that are
not purely objective, they encode the deisgners choices and worldview
what is algorithmic bias - Correct answer-a concert example of a harmful, unfair
outcome from an ai system
example of bias - Correct answer-hiring health care
supervised machine learning - Correct answer-most common ML paradigm-
learning from a dataset where the correct ansswers are provided
, example of supervised machine learning - Correct answer-spam email detection
narrow vs general ai - Correct answer-specialized tool which is all current ai, with
a theoritical human like adapatable intelligence.
common domain in ai -nlp - Correct answer-nautral language processing which is a
major field of ai application focused on human computer lanaguage interaction
what does growth mindset have to do with computing - Correct answer-
empahzszies the skillls that are developimg through persistent effort, no inhale
talent
labels in supervised learning - Correct answer-are the target values that the model
tries to predict during training
ai limitations- are the weeknesses of ai - Correct answer-examples: lack of
common sense and understanding and creativiy
what role does data play in machine learning and ai - Correct answer-data is the
fundametal fuel for machine learning data provides the examples from which
patterns are extracted; its quality and quanity are paramount
best desribes deep learning - Correct answer-defined by the use of muiltie layered
nerual networks to model complex patterns
Neural Networks, and Ethical
Considerations Exam Questions and
Answers Graded A+
defintion of ai example siri or alexa - Correct answer-focus on systems that
demostrate learning and decsiosn making from data
distinguish between true ai and automation ai - Correct answer-look for the absesne
of learning or adaptive capability
alrightm as opinions phrase suggested - Correct answer-taht alrogotiryms that are
not purely objective, they encode the deisgners choices and worldview
what is algorithmic bias - Correct answer-a concert example of a harmful, unfair
outcome from an ai system
example of bias - Correct answer-hiring health care
supervised machine learning - Correct answer-most common ML paradigm-
learning from a dataset where the correct ansswers are provided
, example of supervised machine learning - Correct answer-spam email detection
narrow vs general ai - Correct answer-specialized tool which is all current ai, with
a theoritical human like adapatable intelligence.
common domain in ai -nlp - Correct answer-nautral language processing which is a
major field of ai application focused on human computer lanaguage interaction
what does growth mindset have to do with computing - Correct answer-
empahzszies the skillls that are developimg through persistent effort, no inhale
talent
labels in supervised learning - Correct answer-are the target values that the model
tries to predict during training
ai limitations- are the weeknesses of ai - Correct answer-examples: lack of
common sense and understanding and creativiy
what role does data play in machine learning and ai - Correct answer-data is the
fundametal fuel for machine learning data provides the examples from which
patterns are extracted; its quality and quanity are paramount
best desribes deep learning - Correct answer-defined by the use of muiltie layered
nerual networks to model complex patterns
