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

114

Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

1 227

What is the batch in machine learning?

1 162

How to choose notable variables while working on a data set?

1 147

How will you know which machine learning algorithm to choose for your classification problem?

1 149

What is supervised and unsupervised machine learning?

1 191

What is the most frequent metric to assess model accuracy for classification problems?

1 192

How do we know which machine learning algorithm is better for us to solve our problem?

1 220

How will you choose the most appropriate machine learning algorithm for your classification problem?

1 136

When should one use mean absolute error over root mean square error as a performance measure for regression problems?

1 221

What does linear in ‘linear regression’ actually mean?

1 227

What is the “curse of dimensionality?

1 157

What do you understand by decision tree classification?

1 123

What do you mean by parametric models?

1 151

How do we separate one dimensional, two dimensional and three-dimensional data?

1 163

Un-Answered Questions { Artificial Intelligence }

How can preprocessing techniques reduce bias in datasets?

What are the societal benefits of explainable AI?

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

134

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

116

What measures can ensure the robustness of AI systems?

What methods are used to make AI decisions more transparent?

140

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

How do low-power AI models work in constrained environments?

133

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

120

What are the apis outside tensorflow project?

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

124

Explain the risks of adversarial attacks on AI models.

What is model interpretability, and why is it important?

141

What are the biggest challenges you see in AI implementation across industries?

133

What are the limitations of AI in cybersecurity?

149

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