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

Explain p-value?

331

What is reinforcement learning?

289

Explain the term binomial probability formula?

283

When do you need to update the algorithm in data science?

296

Discuss 'naive' in a naive bayes algorithm?

308

Explain collaborative filtering

366

Define the term deep learning?

304

Explain the difference between data science and data analytics?

317

Explain the benefits of using statistics by data scientists

308

Define the term cross-validation

282

what the aim of conducting a/b testing?

297

What is the k-means clustering method?

332

Name various types of deep learning frameworks

380

State the difference between the expected value and mean value?

311

Explain auto-encoder

288

Un-Answered Questions { Artificial Intelligence }

Can you describe an example of how AI is used in intelligent tutoring systems?

What are best graduate schools for artificial intelligence?

890

What challenges do researchers face in developing quantum AI systems?

How does data cleaning plays a vital role in analysis?

364

What is the difference between artificial learning and machine learning?

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

Explain why Navie Bayes is so Naive?

Explain the various types of industrial robots?

999

How can AI assist in early disease detection?

What should I learn before machine learning?

188

Explain the two main components of the hadoop framework?

314

Explain tensorflow optimizing for cpu?

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

What are the two paradigms of ensemble methods?

153

What makes an effective chatbot?

144

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