AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is symbolic planning?

84

What is the difference between machine learning and artificial intelligence?

81

What is symbolic learning in AI?

74

What is non symbolic Interactionism?

69

What is connectionist AI?

98

What is statistical reasoning in artificial intelligence?

82

What is Bayes theorem in artificial intelligence?

71

What is reasoning and its types in artificial intelligence?

116

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

196

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

67

Explain the Algorithm of Decision Trees in Machine Learning?

64

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

87

Explain the Algorithm of Probabilistic networks in Machine Learning?

60

Explain the Algorithm of Nearest Neighbor in Machine Learning?

122

Explain the Algorithm of Support vector machines in Machine Learning?

61


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Un-Answered Questions { AI Machine Learning }

What is the difference between machine learning and artificial intelligence?

81


How does deductive and inductive machine learning differ?

90


What is PAC Learning?

73


Is gpu required for machine learning?

49


Differentiate between data science, machine learning and ai.

56


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

133


Which os is good for machine learning?

105


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

59


What is the difference between type I and type ii error?

81


How do we know which machine learning algorithm is better for us to solve our problem?

98


Which operating system is best for machine learning?

99


How would you use f1 score?

65


How was bayes’ theorem useful in a machine learning context?

55


Why machine learning is so important?

90


How to handle missing data in a dataset in Machine Learning?

105