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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain the term "data warehouse".

360

What do you understand by ensemble learning?

351

What do you understand by confusion matrix?

362

What do you understand by the term data science?

354

What do you understand by normal distribution?

495

Do you prefer python or r for text analytics?

326

Why is resampling done?

320

What is overfitting?

485

Where to seek help in case of discrepancies in tableau?

568

What are the feature vectors?

320

What do you understand by the selection bias? What are its various types?

330

What is selection bias and why does it matter?

325

What are numpy, scipy, and spark essential datatypes?

407

why is data cleaning important for analysis?

372

Can you compare the validation set with the test set?

336


Un-Answered Questions { Artificial Intelligence }

Are gaming laptops good for machine learning?

95


How is adaptive learning implemented using AI?

88


How can you ensure transparency and accountability in an AI system?

101


What are the advantages of using Tensorflow?

5


What is vanishing gradient?

906


What’s the difference between Type I and Type II error?

153


Why are vectors and norms used in machine learning?

110


How will you test a machine learning model for accuracy?

319


How do I open the terminal in pycharm?

413


How does multimodal AI enhance Generative AI applications?

44


What are the classification problems in machine learning?

157


How does AI assist in contract analysis?

76


What is the aim of a/b testing?

318


Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned

2538


What is 'data mining interface'?

56