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

Compare and contrast CNNs and RNNs.

Imagine you're building a model for loan approvals. How do you make sure it doesn't discriminate?

How do you ensure that your models are fair and unbiased?

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

Discuss the differences between Bayesian Networks and Markov Models.

How would you approach the design of an AI agent that is ethical by design?

What are some common NLP tasks?

What is the vanishing gradient problem in deep learning?

Explain the concept of backpropagation.

How do you deal with ambiguity in requirements when developing AI applications?

Describe different methods for model interpretability.

How can AI be used to improve weather prediction?

Describe a challenging AI project you worked on. What were the key learnings?

What is the relationship between AI and cognitive science?

How would you build a simple classification model?

Un-Answered Questions { Artificial Intelligence }

List some tools for training nlp models?

773

Tell me what is a recommendation system?

180

Rational agent is the one who always does the right thing. State true or false a) True b) False

4856

Explain what is not cluster analysis?

Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

300

How do you prevent overfitting during fine-tuning?

A problem solving approach works well for a) 8-Puzzle problem b) 8-queen problem c) Finding a optimal path from a given source to a destination d) Mars Hover (Robot Navigation)

3110

What is convergence in machine learning?

117

How does AI help in fraud detection?

Explain how to write a table to a file?

336

What is meta learning?

What are the loaders of tensorflow?

What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

What tools or frameworks can be used to ensure ethical AI development?

Explain the difference between bias and variance?

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