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 sequential data in machine learning?

136

What is a seq2seq model?

138

What is sequence to sequence?

Where do we use encoder and decoder?

107

What is encoder and decoder in machine learning?

What is Seq2Seq Tensorflow?

121

What is motor sequence learning?

112

What are the different types of Machine Learning?

130

How would you explain Machine Learning to a school-going kid?

Explain Classification and Regression?

173

What do you understand by selection bias?

192

What do you understand by Precision and Recall?

Explain false negative, false positive, true negative and true positive with a simple example?

What is a Confusion Matrix?

115

What is the difference between inductive and deductive learning?

148

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Un-Answered Questions { AI Machine Learning }

Explain the Algorithm of Probabilistic networks in Machine Learning?

Is Python enough for machine learning?

100

Can you explain how do you handle missing or corrupted data in a dataset?

What’s the difference between a generative and discriminative model?

110

Do you know which is more important to you– model accuracy, or model performance?

Which is best language for machine learning?

112

Compare sas, r and python programming?

168

Is it better to have too many false positives or too many false negatives? Explain.

Why is python best for machine learning?

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

What is ‘tuning’ in ML?

100

What is symbolic machine learning?

114

How much data will you allocate for your training, validation and test sets?

Which os is good for machine learning?

124

Why is python so good?

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