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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the difference between data mining and machine learning?

185

Describe the classifier in machine learning.

81

What is the method to avoid overfitting?

160

What is a model selection in machine learning?

87

How is machine learning used in day-to-day life?

86

What do you understand by reinforcement learning technique?

151

What are the functions of supervised learning?

96

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

81

What are the different types of algorithm methods in machine learning?

75

What are the three stages of building the hypotheses or model in machine learning?

88

How does machine learning differ from deep learning?

70

What is svm in machine learning? What are the classification methods that svm can handle?

225

What do you know about bayesian networks?

103

What according to you, is the standard approach to supervised learning?

94

What do you mean by ensemble learning?

115


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is regression in machine learning?

176


Explain how is knn different from k-means clustering?

122


Can you name some feature extraction techniques used for dimensionality reduction?

68


Tell us when should you use classification over regression?

78


What are the two classification methods that SVM ( Support Vector Machine) can handle?

81


Explain the benefit of naive bayes in machine learning?

101


What are the areas in robotics and information processing where the sequential prediction problem arises?

106


How a roc curve works?

73


Why machine learning?

83


What should I learn before machine learning?

192


Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

88


What do you understand by ilp?

83


Explain cross-validation.

77


Explain me what is machine learning?

87


Do you know which is more important to you– model accuracy, or model performance?

94