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

Why is naïve bayes machine learning algorithm naïve?

1 196

what’s a fourier transform?

1 198

What are parametric models? Give an example.

1 135

Explain latent dirichlet allocation (lda).

1 160

Explain the bias-variance tradeoff.

1 124

what is the function of ‘unsupervised learning’?

1 133

When is ridge regression favorable over lasso regression?

1 230

What is the box-cox transformation used for?

1 130

What kind of problems does regularization solve?

1 145

How would you evaluate a logistic regression model?

1 182

Define a hash table?

1 151

List out some important methods of reducing dimensionality.

1 116

What is the difference between covariance and correlation?

1 174

What is the difference between inductive machine learning and deductive machine learning?

1 210

While creating bayesian network what is the consequence between a node and its predecessors?

1 1010

Un-Answered Questions { Artificial Intelligence }

How do you approach deployment of AI models?

124

Can you describe the importance of model interpretability in Explainable AI?

142

What are pretrained models, and how do they work?

What techniques can improve the explainability of AI models?

What are the hardware constraints to consider when developing Edge AI applications?

176

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

What is in-processing bias mitigation, and how does it work?

How can federated learning be used to train AI models?

134

What are your strengths and weaknesses in AI?

128

What is prompt engineering, and why is it important for Generative AI models?

What are the societal benefits of explainable AI?

What are the benefits and risks of using AI in financial risk analysis?

112

Explain how AI models predict stock market trends.

113

What methods are used to make AI decisions more transparent?

135

Why is it important to address bias in AI models?

136

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