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

What is meant by Poisson regression?

1 434

What are essential skills and training needed in data Science?

1 413

Can you use machine learning for time series analysis?

1 370

What prior knowledge is required to become data scientist?

1 372

During analysis, how do you treat missing values?

1 466

Is it possible to perform logistic regression with Microsoft Excel?

1 446

How can outlier values be treated?

1 442

What does Machine Learning mean for the Future of Data Science?

1 426

How can you iterate over a list and also retrieve element indices at the same time?

1 375

Write a function that takes in two sorted lists and outputs a sorted list that is their union?

1 458

You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

1 403

Can you cite some examples where a false negative important than a false positive?

1 403

Can you explain the difference between a Test Set and a Validation Set?

1 381

Can you cite some examples where both false positive and false negatives are equally important?

1 458

How can you assess a good logistic model?

1 450

Un-Answered Questions { Artificial Intelligence }

What are the limitations when applying AI in climate modeling?

How do societal biases get reflected in AI models?

Can AI systems ever be completely free of bias? Why or why not?

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

113

Discuss the ethical challenges of using AI in healthcare.

Explain the difference between supervised, unsupervised, and reinforcement learning.

What are the risks of using open-source Generative AI models?

How does a cloud data platform help in managing Gen AI projects?

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

What are your strengths and weaknesses in AI?

Can you explain how AI is used in predictive maintenance for industrial equipment?

How can preprocessing techniques reduce bias in datasets?

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

213

How do you approach deployment of AI models?

Explain the concept of SHAP and its role in XAI.

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