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

If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

168

What kind problems are solved by regularization?

119

Why is harmonic mean used to calculate f1 score and not the arithmetic mean?

109

What is the baseline in machine learning?

104

Why is it important for the royal society to be doing a project about machine learning?

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 ?

507

What is naive bayes classifier?

126

What is precision and recall?

What is the convex hull?

What are standardization and normalisation? Give one advantage of each over the other?

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

167

What is the batch in machine learning?

114

How to choose notable variables while working on a data set?

How will you know which machine learning algorithm to choose for your classification problem?

What is supervised and unsupervised machine learning?

142

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Un-Answered Questions { AI Machine Learning }

What is Bayes theorem in artificial intelligence?

117

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

What is the difference between machine learning vs data mining?

163

What is a bayesian model?

How do deductive and inductive machine learning differ?

What is class-imbalanced dataset in machine learning?

127

What is statistical reasoning in artificial intelligence?

116

Tell us where do you usually source datasets?

How do you choose an algorithm for a classification problem?

102

What Is The Difference Between Bias And Variance?

136

What is the difference between inductive and deductive learning?

148

Explain cross-validation.

What are the three stages to build the hypotheses or model in machine learning?

what is the function of ‘unsupervised learning’?

What is semi-supervised Machine Learning?

121

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