Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What do you mean by overfitting and underfitting algorithms?

1033

Which search algorithm will use a limited amount of memory in an online search?

1219

What is the iterative deepening depth-first search algorithm?

1020

What is the bidirectional search algorithm?

976

What is meant by uniform cost search algorithm?

907

What are the different nlp tasks deep learning can be applied?

1001

What does the language of fopl consist of?

901

Which is the similar operation performed by the drop-out in neural network?

1306

What are neural networks and how do they relate to ai?

1291

What is the advantage of pooling layer in convolutional neural networks?

1107

How neural networks became a universal function approximators?

1179

What are the advantages of fuzzy logic systems?

1037

Which is the best way to go for the game playing problem?

How to resolve a problem with the game playing problem methodology?

How ai and game theory are related?

Un-Answered Questions { Artificial Intelligence }

What are the three working components of tensorflow architecture?

What is artificial intelligence technique?

1001

What is phonology nlp terminology?

829

How can you implement RNN in Tensorflow ?

Tell us what is the difference between supervised and unsupervised machine learning?

Which client languages are supported in tensorflow?

What are the three types of algorithms?

What does a data scientist do?

403

Explain intelligent agents and their uses in artificial intelligence?

866

How difficult is machine learning?

117

How can data governance be centralized in an LLM ecosystem?

Explain the difference between strong ai and weak ai?

800

What do you understand by the selection bias?

317

How is AI applied in smart agriculture to increase efficiency?

Can you describe a time when an AI project didn't go as planned and how you adapted?

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