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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain p-value?

429

What is reinforcement learning?

389

Explain the term binomial probability formula?

379

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

368

Discuss 'naive' in a naive bayes algorithm?

406

Explain collaborative filtering

451

Define the term deep learning?

398

Explain the difference between data science and data analytics?

404

Explain the benefits of using statistics by data scientists

395

Define the term cross-validation

371

what the aim of conducting a/b testing?

383

What is the k-means clustering method?

420

Name various types of deep learning frameworks

493

State the difference between the expected value and mean value?

397

Explain auto-encoder

379


Un-Answered Questions { Artificial Intelligence }

What are best graduate schools for ai?

1076


Where to seek help in case of discrepancies in tableau?

617


Can you explain how AI is used in personalized medicine for tailored treatment plans?

89


Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

85


In inductive logic programming what needed to be satisfied?

1084


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

1


Which algorithm in ‘unification and lifting’ takes two sentences and returns a unifier?

1034


What is the Applying the model in Machine Learning?

139


How can someone report a vulnerability in tensorflow?

1


In "artificial intelligence" where you can use the bayes rule?

935


What do you understand by the f1 score?

74


What are the three working components of tensorflow architecture?

1


Describe the Transformer architecture used in modern LLMs.

72


What is logistic regression? Or state an example when you have used logistic regression recently?

403


Can we implement classification in Tensorflow ? If Yes? What is function Name ?

5