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

How will you explain machine learning into a layperson?

1 127

What do you mean by parametric models? Also, give some examples of them?

1 120

Why do we convert categorical variables into factor?

1 149

What type of learning is needed when the system needs to adapt to rapidly changing data?

1 178

How to decide one problem is a machine learning problem or not?

1 252

What is the sigmoid function in machine learning?

1 174

Give a drawback of gradient descent ?

1 134

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

1 125

What is adagrad algorithm in machine learning?

1 157

What kind of problems lend themselves to machine learning?

1 122

What is the difference between supervised and unsupervised learning?

1 155

Which one would you prefer to choose – model accuracy or model performance?

1 243

What are standardization and normalisation?

1 167

What is bias-variance trade-off in machine learning?

1 160

Does 100% precision mean that our model predicts all the values correctly?

1 124

Un-Answered Questions { Artificial Intelligence }

What are your strengths and weaknesses in AI?

130

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

What tools do you use for managing Generative AI workflows?

Explain how AI models create realistic game physics.

121

Is this artificial intelligence lives over the other software programs and their flexibility?

957

How do biases in AI models amplify existing inequalities?

How do you measure fairness in an AI model?

What are the limitations of current Generative AI models?

Do you have research experience in machine learning?

112

What are some open problems you find interesting?

104

How does explainable AI (XAI) improve trust in AI systems?

134

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

What measures can ensure the robustness of AI systems?

How do Generative AI models create synthetic data?

Explain the concept of SHAP and its role in XAI.

116

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