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

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?

What is the meaning of overfitting in machine learning?

What do you understand by machine learning?

Why overfitting occurs?

Differentiate between inductive learning and deductive learning?

When does regularization become necessary in machine learning?

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

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?

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 }

Define the term deep learning?

107

Which is the best way to go for the game playing problem?

How can you assess a good logistic model?

178

What is reasoning and its types in artificial intelligence?

106

What is rollup and cube?

Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned

1203

What is bias – variance tradeoff?

Why is image recognition a key function of ai?

534

Definition of ai single agent pathfinding problems?

504

Give an example of an O (n) algorithm and O (n*n) algorithm such that the algorithm is slower.

593

What is the “kernel trick” and how is it useful?

How do you define data science?

What is tokenization in nlp?

490

What do you mean by parametric models?

What is a boltzmann machine?

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