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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Why naïve bayes is called naïve?

105

What are the 3 types of ai?

94

Explain the objective of machine learning?

109

Explain the machine learning techniques?

110

Explain the types of machine learning?

101

What is regression in machine learning?

176

Explain the difference between machine learning and regression?

79

What is conditional probability?

95

Explain the difference between bayes and naive bayes?

146

How bayes theorem is useful in a machine learning context?

97

What are the classification problems in machine learning?

157

Explain why is naive bayes better than decision tree?

73

Explain the benefit of naive bayes in machine learning?

101

Why naive bayes is called naive?

88

Explain the difference between bayesian and frequentist?

106


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

How to decide one problem is a machine learning problem or not?

194


What is your favorite algorithm and also explain the algorithm in briefly in a minute?

77


What are the different categories you can categorize the sequence learning process?

167


What is the purpose of a classifier?

69


What is accuracy machine learning?

108


You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why ?

509


Describe precision and recall?

154


How would you evaluate a logistic regression model?

129


What is the baseline for machine learning?

101


Tell us what's the f1 score? How would you use it?

75


Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

167


Define A HashTable in Machine Learning?

77


Explain how is knn different from k-means clustering?

122


What is decision tree classification?

145


Explain me what cross-validation technique would you use on a time series dataset?

131