Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

Explain what are some methods of reducing dimensionality?

Tell us what's the f1 score? How would you use it?

Tell us how would you approach the “netflix prize” competition?

Tell me what are your favorite use cases of machine learning models?

Tell us what is the difference between supervised and unsupervised machine learning?

Tell us what are some differences between a linked list and an array?

145

Explain me how would you handle an imbalanced dataset?

Explain me what's the trade-off between bias and variance?

Can you name some feature extraction techniques used for dimensionality reduction?

Tell me how is knn different from k-means clustering?

Tell us how do bias and variance play out in machine learning?

Tell us an example where ensemble techniques might be useful?

Can you explain what is the difference between inductive machine learning and deductive machine learning?

146

Tell us what kind of problems does regularization solve?

Tell us what is decision tree classification?

187

Un-Answered Questions { Artificial Intelligence }

What are outlier values and how do you treat them?

392

How do you evaluate the impact of model updates on downstream applications?

What are the recommended systems?

124

What do you mean by partitioning method?

How do you integrate Generative AI with rule-based systems?

Discuss the different types of generative adversarial networks (GANs) and how they work.

What do you mean by "overfitting"?

Tell us what is decision tree classification?

187

What techniques can improve inference speed for LLMs?

What do you mean by p-value?

320

What is tensorflow mobile?

What are the three types of algorithms?

What do you mean by Overfitting? How to avoid this?

138

How would you design a reinforcement learning system?

What is artificial intelligence journal?

1035

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