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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is Time Series Analysis/ Forecasting?

1 115

What is convex hull?

1 135

What is bias and variance in a Machine Learning model?

1 264

What’s the trade-off between bias and variance?

1 123

What is pruning in decision trees and how is it done?

1 115

Comparision between Machine Learning and Big Data?

1 137

Explain what is precision and Recall?

1 110

What is your favorite algorithm and also explain the algorithm in briefly in a minute?

1 87

What is the difference between Type 1 and Type 2 errors?

1 154

Define what is Fourier Transform in a single sentence?

1 116

What is the F1 score?

1 90

How is F1 score is used?

1 211

How can you ensure that you are not overfitting with a particular model?

1 122

Pick an algorithm and write a Pseudocode for the same?

1 150

What is the difference between an array and Linked list in Machine learning?

1 136


Un-Answered Questions { Artificial Intelligence }

What are standardization and normalisation? Give one advantage of each over the other?

79


Discuss the ethical challenges of using AI in healthcare.

91


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

944


How can AI be used to predict patient outcomes?

86


How do Generative AI models create synthetic data?

59


What are the ethical considerations in deploying Generative AI solutions?

39


How do societal biases get reflected in AI models?

5


How do you ensure compatibility between Generative AI models and other AI systems?

47


What ethical concerns arise when AI models are treated as "black boxes"?

5


How do biases in AI models amplify existing inequalities?

4


What tools or practices can help secure AI models against attacks?

4


Explain the role of GANs (Generative Adversarial Networks) in art creation.

98


What are some techniques for developing low-power AI models?

92


How does human feedback improve AI models?

113


What challenges do organizations face in implementing fairness in AI models?

5