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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?

1094

How artificial neurons learns?

1141

How to avoid overflow in the logistic function?

1180

What are the disadvantages of artificial neural networks?

1304

What are the population, sample, training set, design set, validation set, and test set?

1038

What is “generality” in ai ?

994

In top-down inductive learning methods how many literals are available? What are they?

1111

Give a brief introduction to robotics?

914

What is travelling salesman problem?

933

What are applications of expert system?

957

What is prolog in ai?

1156

What are benefits of expert systems?

909

What is augmented human intelligence?

906

Why do we need technology intelligence?

1036

For building a bayes model how many terms are required?

1233


Un-Answered Questions { Artificial Intelligence }

What is lexical ambiguity?

895


while working on a data set, how can you select important variables? Explain

365


To answer any query how the bayesian network can be used?

1065


Describe different approaches to text-to-speech (TTS) synthesis?

88


What is the purpose of a classifier?

69


Explain me what cross-validation technique would you use on a time series dataset?

131


What are the products built using Tensorflow?

5


What is the lifetime of a variable?

1


What do you understand by perceptron? Also, explain its type.

1


During analysis, how do you treat missing values?

409


What is Model Selection in Machine Learning?

129


Can you explain bias-variance trade-off?

126


What is the difference between inductive and deductive learning?

148


Can you explain the differences between supervised, unsupervised, and reinforcement learning?

109


Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned

1618