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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is optimization in ML?

142

What is dimensionality reduction? Explain in detail.

117

On what basis do you choose a classifier?

193

Mention key business metrics that help ML?

100

What is kernel SVM?

91

What is the decision tree classification?

126

What is a recommendation system?

142

What are the five popular algorithms of Machine Learning?

109

What are the different Algorithm techniques in Machine Learning?

96

What are the three stages to build the hypotheses or model in machine learning?

97

What is the standard approach to supervised learning?

107

What is ‘Training set’ and ‘Test set’?

107

List down various approaches to machine learning?

172

What is not Machine Learning?

104

Explain what is the function of ‘Unsupervised Learning’?

89


Un-Answered Questions { Artificial Intelligence }

When is ridge regression favorable over lasso regression?

162


What is the advantage of performing dimensionality reduction before fitting an svm?

311


What do you understand by autoencoder?

1


How does AI aid in diagnosis and drug discovery in the healthcare domain?

84


How artificial neural networks can be applied in future?

1159


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

1011


Can you explain the concept of edge computing and its relationship to Edge AI?

74


What is the roc curve?

354


Differentiate regular grammar and regular expression.

851


What is the role of attention mechanisms in transformers?

960


Explain constraint-based method?

39


Can you explain supervised learning?

332


What is called annotation?

843


What is your opinion on our current data process?

96


What skills do you need for machine learning?

84