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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is the central limit theorem and why is it important?

323

A certain couple tells you that they have two children, at least one of whom is a girl. What is the probability that they have two girls?

337

What are eigenvalue and eigenvector?

354

What is the difference between bayesian estimate and maximum likelihood estimation (mle)?

319

Why is it mandatory to clean a data set?

379

What tools or devices help you succeed in your role as a data scientist?

359

A test has a true positive rate of 100% and a false-positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

373

What is meant by supervised and unsupervised learning in data?

317

Why do you want to work at this company as a data scientist?

316

What are outlier values?

415

How to work towards a random forest?

430

What devices or tools help you most as a data scientist?

305

What is a boltzmann machine?

179

What is the difference between machine learning vs data mining?

163

Why are vectors and norms used in machine learning?

110


Un-Answered Questions { Artificial Intelligence }

Explain types of statistical data?

323


Are neural networks helpful in medicine?

1125


What is federated learning, and how does it relate to Edge AI?

81


Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?

343


How do you approach learning a new AI framework or technology?

44


What is a neural network and what are some advantages and disadvantages of such a network?

1111


How do you prioritize tasks in a Generative AI project?

50


Like relational databases there does exists fuzzy relational databases. a) True b) False

3532


How can you measure engagement with given Twitter data?

409


Differentiate between statistics and ML?

145


How do you ensure that your LLM generates contextually accurate and meaningful outputs?

46


What is meant by naive bayes classifier?

75


Which is the most straight forward approach for planning algorithm?

1084


List down various approaches to machine learning?

172


How do I become an expert in machine learning?

101