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 according to you, is the standard approach to supervised learning?

What do you mean by ensemble learning?

120

What is the meaning of overfitting in machine learning?

108

What do you understand by machine learning?

117

Why overfitting occurs?

117

Differentiate between inductive learning and deductive learning?

111

When does regularization become necessary in machine learning?

210

What are the five popular algorithms we use in machine learning?

175

What are the functions of unsupervised learning?

What do you understand by decision tree in machine learning?

What is regularization? What kind of problems does regularization solve?

What do you understand by underfitting?

116

Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

What are the similarities and differences between bagging and boosting in machine learning?

What do you understand by the f1 score?

Un-Answered Questions { Artificial Intelligence }

Is java used for ai?

176

Explain tensorboard?

What is the most innovative Generative AI project you have contributed to?

Why do you want to work at this company as a data scientist?

355

What is a binary classification in machine learning?

Python or R is better for data science?

444

What are the roles and responsibilities of a data scientist?

383

Why do we need to convert categorical variables into factor?

Can you cite some examples where a false positive is important than a false negative?

399

Why is Python better for machine learning?

316

What is a lookup table?

What is the correlation in r?

374

How to avoid overflow in the logistic function?

1224

How do you overcome challenges to your findings?

410

Tell us how will you know which machine learning algorithm to choose for your classification problem?

1024

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