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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How is machine learning (ml) different from artificial intelligence (ai)?

123

What is feature engineering?

73

Can you explain rescaling data technique in data pre-processing?

97

What is the difference between probability and likelihood?

164

What is pca in ml?

115

What are the important data pre-processing techniques in python machine learning?

98

What is data set in ml?

124

What is dimensionality reduction?

88

What is data normalization in ml?

134

Explain the k-nearest algorithm different from the knn clustering?

93

What are the differences between machine learning and artificial intelligence?

106

What is difference between supervised and unsupervised learning algorithms?

102

What is data standardization in ml?

128

What are the smaller dataset techniques?

94

What is a classifier in machine learning?

84


Un-Answered Questions { Artificial Intelligence }

What is transfer learning, and when would you use it?

74


Name various types of deep learning frameworks

439


What are the challenges in applying AI to environmental issues?

89


What is the difference between inductive and deductive learning?

148


What is 'data mining interface'?

56


What is an AdaGrad algorithm in machine learning?

99


What is meant by compositional semantics?

956


What are the differences between Machine Learning and Deep Learning?

5


What are the principal components?

347


Explain difficulties in nlu?

914


what is bias?

357


How can the outlier values be treated?

384


What do you mean by deep learning?

1


How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.

292


What are the privacy implications of using large datasets for Generative AI?

64