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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Explain what is the difference between inductive machine learning and deductive machine learning?

81

Which do you think is more important: model accuracy or model performance?

65

What cross-validation technique would you use on a time series dataset?

110

What do you think of our current data process?

72

When should you use classification over regression?

64

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

123

Explain machine learning in to a layperson?

93

What's the f1 score? How would you use it?

67

What are your favorite use cases of machine learning models?

137

An example where ensemble techniques might be useful?

115

What is the difference between a generative and discriminative model?

118

How a roc curve works?

73

What is bayes' theorem? How is it useful in a machine learning context?

83

How would you handle an imbalanced dataset?

219

How do you handle missing or corrupted data in a dataset?

75


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Explain the Algorithm Technique of Transduction in Machine Learning?

103


Which language is best for deep learning?

158


What is symbolic machine learning?

122


How is a decision tree pruned?

94


What is the use of gradient descent?

110


When is ridge regression favorable over lasso regression?

165


What is a sigmoid function in Machine learning?

150


What is ‘tuning’ in ML?

129


What is machine learning basics?

87


What are different types of Compilers and also define how to convert NFA to DFA?

78


Why is python so good?

109


Is rotation necessary in PCA?

174


What is sequential data in machine learning?

138


What are the similarities & difference between machine learning and human learning?

87


How would you handle an imbalanced dataset?

219