M11a: Artificial Intelligence

unsupervised machine learning, transfer machine learning, supervised machine learning

Select all that apply What are the three types of machine learning? a) unsupervised machine learning b) transfer machine learning c) neural network machine learning d) artificial machine learning e) bias machine learning f) supervised machine learning

transfer machine learning

transfers information from one machine learning task to another

supervised machine learning

training a model from input data and its corresponding labels

deep learning

What is a process that employs specialized algorithms to model and study complex datasets; the method is also used to establish relationships among data and datasets? a) deep learning b) knowledge learning c) analytical learning d) dark learning

machine learning

What is a type of artificial intelligence that enables computers to both understand concepts in the environment, and also to learn? a) internet of things b) virtual assistant c) information of everything d) machine learning

genetic algorithm

What is an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem? a) neural network b) expert system c) virtual reality d) genetic algorithm

unsupervised machine learning

training a model to find patterns in a dataset, typically an unlabeled dataset

expert systems

What are computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems? a) expert systems b) neutral networks c) genetic algorithm d) virtual reality

either 0 or 1

What does fuzzy logic assign as values to vague or ambiguous information? a) either 0 or 1 b) first, second, or last c) a and b d) between o and 1

fuzzy logic

What is a mathematical method of handling imprecise or subjective information? a) mutation b) shopping bot c) augmented reality d) fuzzy logic

reinforcement learning

What is the training of machine learning models to make a sequence of decisions? a) augmented reality b) haptic interface c) virtual reality d) reinforcement learning

augmented reality

What is the viewing of the physical world with computer-generated layers of information added to it? a) virtual reality b) augmented reality c) biological reality

artificial intelligence

What simulates human thinking and behavior, such as the ability to reason and learn? a) artificial intelligence b) transaction processing systems c) decision support systems

learning

With machine _________, machines are able to act without human programs detailing how to perform tasks. Machine learning is one of the scary terms in AI as it points to a future where AI robots could have the possibility of being smarter than humans. a) automation b) intelligence c) learning d) data

deep

______ learning is a process that employs specialized algorithms to model and study complex datasets; the method is also used to establish relationships among data and datasets. a) dark b) data c) deep d) light

expert

________ systems are computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems. a) virtual b) neural c) genetic d) expert

genetic

_________ algorithm is an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. a) fuzzy b) genetic c) general d) neural

artificial

_________ intelligence simulates human thinking and behavior, such as the ability to reason and learn. a) decision b) customer c) artificial d) executive

fuzzy

_________ logic is a mathematical method of handling imprecise or subjective information. a) mutation b) fuzzy c) augmented

neural

_________ network is a category of AI that attempts to emulate the way the human brain works. a) genetic b) virtual c) expert d) neural

virtual

___________ reality is a computer-simulated environment that can be a simulation of the real world or an imaginary world. a) intelligent b) virtual c) neural

Lending themselves to massive parallel processing, Learning, and adjusting to new circumstances on their own, Coping with huge volumes of information with many dependent variables

Select three features of a neural network. a) Lending themselves to massive parallel processing b) Learning and adjusting to new circumstances on their own c) Coping with huge volumes of information with many dependent variables d) Displays a hot list of key performance indicators