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?

125

What is a seq2seq model?

130

What is sequence to sequence?

Where do we use encoder and decoder?

103

What is encoder and decoder in machine learning?

What is Seq2Seq Tensorflow?

115

What is motor sequence learning?

106

What are the different types of Machine Learning?

119

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

Explain Classification and Regression?

164

What do you understand by selection bias?

184

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?

106

What is the difference between inductive and deductive learning?

138

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Un-Answered Questions { AI Machine Learning }

What is 'naive' in the Naive Bayes classifier?

107

What is a Confusion Matrix?

106

Give examples of machine-to-machine communications?

How was bayes’ theorem useful in a machine learning context?

How will you explain machine learning to a layperson?

Tell me how a roc curve works?

What is your training in machine learning and what types of hands-on experience do you have?

139

Which language is better for machine learning r or python?

In what areas Pattern Recognition is used?

What is ensemble learning?

Explain the Genetic Programming in Machine Learning?

Explain how is knn different from k-means clustering?

112

What are the best public data sets for machine learning?

Which is better for image classification? Supervised or unsupervised classification? Justify.

117

Explain Principal Component Analysis (PCA)?

133

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