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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

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

1 369

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?

1 405

What are eigenvalue and eigenvector?

1 413

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

1 385

Why is it mandatory to clean a data set?

1 425

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

1 411

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?

1 404

What is meant by supervised and unsupervised learning in data?

1 369

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

1 374

What are outlier values?

1 474

How to work towards a random forest?

1 503

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

1 360

What is a boltzmann machine?

1 228

What is the difference between machine learning vs data mining?

1 206

Why are vectors and norms used in machine learning?

1 158


Un-Answered Questions { Artificial Intelligence }

What are the limitations when applying AI in climate modeling?

111


Do you have research experience in machine learning?

107


What are the limitations of current Generative AI models?

76


How do you approach deployment of AI models?

124


Tell me what are the last machine learning papers you've read?

247


Why is data considered crucial in AI projects?

83


What are the advantages of running AI models on IoT devices?

130


How can you detect bias in AI models?

120


Explain how AI models predict stock market trends.

112


What are your strengths and weaknesses in AI?

128


Why is it important to address bias in AI models?

136


What are the apis outside tensorflow project?

35


What are Large Language Models (LLMs), and how do they relate to foundation models?

104


How does human feedback improve AI models?

141


How does the bias in training data affect the performance of AI models?

137