Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned
1308What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b
1377Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
1984Which were built in such a way that humans had to supply the inputs and interpret the outputs? a) Agents b) AI system c) Sensor d) Actuators
1875Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS (MicroElectroMechanical System) d) None of the mentioned
1347What is used for tracking uncertain events? a) Filtering algorithm b) Sensors c) Actuators d) None of the mentioned
1989What is not represented by using propositional logic? a) Objects b) Relations c) Both a & b d) None of the mentioned
2012Which functions are used as preferences over state history? a) Award b) Reward c) Explicit d) Implicit
1775Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned
1175Specify the agent architecture name that is used to capture all kinds of actions. a) Complex b) Relational c) Hybrid d) None of the mentioned
1232Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned
1212What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b
1544What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent
1985What is the expansion if PEAS in task environment? a) Peer, Environment, Actuators, Sense b) Perceiving, Enivornment, Actuators, Sensors c) Performance, Environment, Actuators, Sensors, d) None of the mentioned
1 5073What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both a & b
1818
What is your training in machine learning and what types of hands-on experience do you have?
What is interpolation and extrapolation?
How does tensorflow use python api?
Is python better than r?
How will you impute missing information in a dataset?
What is classification?
What are standardization and normalisation?
What is meant by selection bias?
To answer any query how the bayesian network can be used?
Why is naive bayes used for text classification?
What is semantics nlp terminology?
What are tensor operators ?
What is Training set in machine learning?
Tell me how does deep learning contrast with other machine learning algorithms?
Which plot will you use to access the uncertainty of a statistic?