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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?

89

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?

80

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 }

How can we use your machine learning skills to generate revenue?

111


Explain the difference between bayes and naive bayes?

146


Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

75


What is recall?

79


Who is associated with the theory of symbolic learning?

80


Explain cross-validation.

77


What are the different methods for Sequential Supervised Learning?

109


What is feature scaling?

77


What is batch statistical learning?

150


Why naïve bayes is called naïve?

105


What is non symbolic Interactionism?

93


What is the confusion matrix in machine learning?

135


What is the benefit of naive bayes in machine learning?

82


Is rotation necessary in PCA?

172


How are NumPy and SciPy related?

137