AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

What is unsupervised learning?

How do you control for biases?

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

129

Explain the various benefits of r language?

Why data cleansing is important in data analysis?

What are the two main components of the hadoop framework?

What are confounding variables?

138

Differentiate between data science, machine learning and ai.

Give examples of machine-to-machine communications?

What is root cause analysis?

164

Compare sas, r and python programming?

168

Give me an examples of nosql architecture?

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?

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Un-Answered Questions { AI Machine Learning }

Is machine learning artificial intelligence?

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

Mention the difference between Data Mining and Machine learning?

136

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

What is an Incremental Learning algorithm in ensemble?

103

How would you evaluate a logistic regression model?

131

What is difference between a parameter and a hyperparameter?

182

Explain the steps in making a decision tree.

134

What is the benefit of naive bayes in machine learning?

What is machine learning and how does it relate to ai?

112

Explain the purpose of a classifier?

What is false positive and false negative and how are they significant?

109

What is not Machine Learning?

107

How are NumPy and SciPy related?

151

How do I learn Python machine learning?

167

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