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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Do you know what is kernel svm?

1 97

Tell us how do deductive and inductive machine learning differ?

1 160

Tell us how is a decision tree pruned?

1 142

Tell us which do you think is more important: model accuracy or model performance?

1 84

What is the f1 score? How would you use it?

1 167

What is the difference between type I and type ii error?

1 172

What's the “kernel trick” and how is it useful?

1 98

How do you think google is training data for self-driving cars?

1 736

Name some feature extraction techniques used for dimensionality reduction?

1 94

What are some differences between a linked list and an array?

1 91

How can we use your machine learning skills to generate revenue?

1 120

How do you ensure you're not overfitting with a model?

1 137

What is a fourier transform?

1 109

Why is “naive” bayes naive?

1 93

How do deductive and inductive machine learning differ?

1 70


Un-Answered Questions { Artificial Intelligence }

How is AI used in procedural content generation?

102


What challenges arise when implementing AI in finance?

91


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

4


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

114


What are the limitations of AI in cybersecurity?

127


How does XAI address regulatory compliance issues?

100


How can you optimize AI models for edge deployment?

125


Why is data considered crucial in AI projects?

56


Why is it beneficial to run AI models on edge devices (IoT)?

98


What are the societal benefits of explainable AI?

4


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

53


How can AI be used to predict patient outcomes?

86


How do you integrate Generative AI models with existing enterprise systems?

56


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

112


How can you detect bias in AI models?

95