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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is symbolic planning?

106

What is the difference between machine learning and artificial intelligence?

112

What is symbolic learning in AI?

95

What is non symbolic Interactionism?

87

What is connectionist AI?

126

What is statistical reasoning in artificial intelligence?

107

What is Bayes theorem in artificial intelligence?

103

What is reasoning and its types in artificial intelligence?

153

What is the Difference between Concept Learning and Classification Learning in Machine Learning?

216

What is the Difference between Inductive Learning and Analytical Learning in Machine Learning?

90

Explain the Algorithm of Decision Trees in Machine Learning?

88

Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?

107

Explain the Algorithm of Probabilistic networks in Machine Learning?

77

Explain the Algorithm of Nearest Neighbor in Machine Learning?

144

Explain the Algorithm of Support vector machines in Machine Learning?

81


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is calibration in machine learning?

93


What are the components of relational evaluation techniques?

147


What do you mean by parametric models?

82


What is regularization? Can you give some examples of regularization techniques?

103


What is dimension reduction in Machine Learning?

169


Is python the best language for machine learning?

140


What is Test set in machine learning?

122


What is the purpose of machine learning?

104


Explain false negative, false positive, true negative and true positive with a simple example?

86


What is naive bayes classifier?

122


How will you explain a linked list and an array?

69


What are Bayesian Networks (BN) ?

92


What is kernel SVM?

87


What is the use of naive bayes?

94


How do you ensure you're not overfitting with a model?

121