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 is the difference between tensor.eval() and session.run()?

1 9

What do you know about tensors?

1 9

Describe graph explorer in tensorflow?

1 10

Describe the common steps to most tensorflow algorithms?

1 8

Can I run tensorboard without tensorflow?

1 8

What are the api's used inside the tensorflow project?

1 7

What do you know about distribution dashboard in tensorflow?

1 10

How to determine the number of clusters in k-means clustering algorithm?

1 354

Discuss linear regression?

1 372

Which is the best suitable language among python and r for text analytics?

1 391

Differentiate between supervised and unsupervised learning?

1 360

What do you understand by bias, variance trade-off?

1 378

Explain reinforcement learning.

1 351

What do you understand by l1 and l2 regularization methods?

1 368

What are the differences between data science, machine learning, and artificial intelligence?

1 381

Un-Answered Questions { Artificial Intelligence }

What are the challenges in applying AI to environmental issues?

106

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

What are the best practices for deploying Generative AI models in production?

What are the ethical considerations in deploying Generative AI solutions?

Provide examples of industries where fairness in AI is particularly critical.

What are the societal benefits of explainable AI?

How does AI intersect with human bias and societal inequities?

What challenges arise when implementing AI in finance?

What tools do you use for managing Generative AI workflows?

Can AI systems ever be completely free of bias? Why or why not?

Can you explain how AI is used in predictive maintenance for industrial equipment?

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

What are the limitations of AI in cybersecurity?

127

How can preprocessing techniques reduce bias in datasets?

Why is it important to address bias in AI models?

112

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