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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is unsupervised learning?

83

How do you control for biases?

95

Do gradient descent methods at all times converge to a similar point?

129

Explain the various benefits of r language?

73

Why data cleansing is important in data analysis?

93

What are the two main components of the hadoop framework?

73

What are confounding variables?

132

Differentiate between data science, machine learning and ai.

77

Give examples of machine-to-machine communications?

70

What is root cause analysis?

164

Compare sas, r and python programming?

168

Give me an examples of nosql architecture?

81

What is logistic regression? State an example when you have used logistic regression recently.

182

Explain the steps in making a decision tree.

134

What do you understand by algorithm independent machine learning?

76


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is supervised and unsupervised machine learning?

142


Differentiate supervised and unsupervised machine learning.

232


What is the use of gradient descent?

108


What is candidate sampling in machine learning?

145


What are the best python libraries used in machine learning?

227


What is the method to avoid overfitting?

162


What is a Confusion Matrix?

115


Tell us how do deductive and inductive machine learning differ?

146


Explain the Algorithm of Nearest Neighbor in Machine Learning?

146


What is the difference between bayesian and frequentist?

103


Why overfitting occurs?

111


What is data pre-processing technique for machine learning?

72


Explain the importance of bayes theorem?

84


What is Test set in machine learning?

128


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

65