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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain p-value?

363

What is reinforcement learning?

336

Explain the term binomial probability formula?

323

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

333

Discuss 'naive' in a naive bayes algorithm?

352

Explain collaborative filtering

399

Define the term deep learning?

334

Explain the difference between data science and data analytics?

360

Explain the benefits of using statistics by data scientists

349

Define the term cross-validation

315

what the aim of conducting a/b testing?

332

What is the k-means clustering method?

376

Name various types of deep learning frameworks

435

State the difference between the expected value and mean value?

343

Explain auto-encoder

327


Un-Answered Questions { Artificial Intelligence }

What is the strong artificial intelligence thesis?

930


Can you explain difference between data modeling and database design?

355


A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1474


Is artificial intelligence going to take over the world?

874


What are the biggest challenges you see in AI implementation across industries?

78


Define sequence-to-sequence model?

1


Where to find information on Bots and Intelligent Agents?

2648


Explain areas where data mining has good effects?

35


list the types of linked list with aid of diagram?

2687


What are the challenges of working on cross-functional AI teams?

43


What is smoothing?

49


Why fuzzy logic?

1077


What are the best public data sets for machine learning?

84


What types of projects are you most interested in working on?

89


Why is classification needed?

155