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

Please explain what is deep learning?

1 17

Tell me how does deep learning contrast with other machine learning algorithms?

1 18

Tell me how do you choose an algorithm for a classification problem?

1 952

Can you pick an algorithm. Write the psuedo-code for a parallel implementation?

1 972

Can you list some use cases where classification machine learning algorithms can be used?

1 1000

Explain me what's your favorite algorithm, and can you explain it to me in less than a minute?

1 1182

Tell us why is naïve bayes machine learning algorithm naïve?

1 1082

Tell us how will you know which machine learning algorithm to choose for your classification problem?

1 1024

Tell me do you have experience with spark or big data tools for machine learning?

1 147

Tell us which data visualization libraries do you use? What are your thoughts on the best data visualization tools?

1 186

Tell us which data visualization libraries do you use?

1 162

What are your thoughts on the best data visualization tools?

1 220

Tell me what is a recommendation system?

1 215

Tell us how do classification and regression differ?

1 92

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

1 92

Un-Answered Questions { Artificial Intelligence }

How does the bias in training data affect the performance of AI models?

120

What are the hardware constraints to consider when developing Edge AI applications?

149

What tools do you use for managing Generative AI workflows?

Explain the concept of adversarial attacks and how to protect AI models from them.

108

What are the limitations of AI in cybersecurity?

133

How do you ensure compatibility between Generative AI models and other AI systems?

What are pretrained models, and how do they work?

What techniques can be used to make AI models more fair?

102

What is in-processing bias mitigation, and how does it work?

What are the apis outside tensorflow project?

What challenges arise when implementing AI in finance?

What is model interpretability, and why is it important?

113

What ethical concerns arise when AI models are treated as "black boxes"?

What challenges do organizations face in implementing fairness in AI models?

What are standardization and normalisation? Give one advantage of each over the other?

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