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

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What are some potential applications of human-AI interaction in education for improved learning outcomes?

What are the differences between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?

106

What are some applications of AI in smart agriculture?

What background is necessary to understand and work with quantum AI?

How would you test a machine learning system in production?

How can AI be used to improve energy efficiency?

What are some common applications of chatbots and virtual assistants?

What are the data challenges when using AI to solve environmental problems?

What is the future of human-AI interaction?

Describe AI's role in drug discovery.

Discuss the tension between accuracy and interpretability.

How would you improve AI education programs?

What are the different methods of unsupervised learning?

What are some potential challenges of neuromorphic computing?

How does it differ from traditional computing architectures?

Un-Answered Questions { Artificial Intelligence }

Explain what is the difference between inductive machine learning and deductive machine learning?

What are some environmental applications of AI?

Can you explain eigenvalue and eigenvector?

346

Explain the Genetic Programming in Machine Learning?

Why overfitting happens?

111

What is meta learning?

What ethical considerations arise in autonomous decision-making systems?

What is the difference between Stack and Queue

508

What are Vanishing and Exploding Gradients?

How do you ensure compliance with industry regulations in AI projects?

What prior subject is required to become data analyst?

350

What is regularization? Can you give some examples of regularization techniques?

105

Differentiate between documented and undocumented knowledge. 3. How is knowledge collected?

3323

What is data pre-processing technique for machine learning?

Explain how can you assess a good logistic model?

323

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