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?

123

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?

126

Differentiate between data science, machine learning and ai.

Give examples of machine-to-machine communications?

What is root cause analysis?

157

Compare sas, r and python programming?

162

Give me an examples of nosql architecture?

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

176

Explain the steps in making a decision tree.

122

What do you understand by algorithm independent machine learning?

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Un-Answered Questions { AI Machine Learning }

How is KNN different from K-means clustering?

120

Difference between Classification and Regression?

306

What is the trade-off between bias and variance?

How python can be used in machine learning?

160

What are the three types of algorithms?

What is the meaning of overfitting in machine learning?

What is the difference between Entropy and Information Gain?

124

What is symbolic machine learning?

106

What are the two methods used for the calibration in Supervised Learning?

What are neural networks and where do they find their application in ML? Elaborate.

100

Tell me what is precision and recall?

119

What is the use of naive bayes?

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

127

What is an Incremental Learning algorithm in the ensemble?

Why machine learning?

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