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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

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?

95

What is a classifier in machine learning?

84

Is coding required for machine learning?

82

Which language is better for machine learning r or python?

99

Why is python so popular in machine learning?

81

Can r be used for machine learning?

96

What is naive bayes in machine learning?

83

Is naïve bayes a supervised or unsupervised method?

112


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is the calibration layer in machine learning?

135


Is naive bayes supervised learning?

136


What do you understand by selection bias?

192


“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

154


What skills do you need for machine learning?

84


What is sequence classification?

167


What is the box-cox transformation used for?

84


How do you think google is training data for self-driving cars?

698


Explain how can we use your machine learning skills to generate revenue?

88


Which is more important to you – model accuracy or model performance?

79


What do you mean by Inductive Logic Programming (ILP)?

102


What is the difference between Gini Impurity and Entropy in a Decision Tree?

229


What is accuracy machine learning?

108


What is symbolic processing?

126


How will you explain machine learning to a layperson in an easily comprehensible manner?

55