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