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 pruning in decision trees?

118

What is data pre-processing technique for machine learning?

What is data structure? And what are the different types of data structures supported in r programming?

113

What is data augmentation in ml?

102

What is feature scaling?

What is type I vs type ii error?

348

What sentiment analysis?

Can you explain bias-variance trade-off?

126

What is batch normalization?

How is machine learning (ml) different from artificial intelligence (ai)?

123

What is feature engineering?

Can you explain rescaling data technique in data pre-processing?

What is the difference between probability and likelihood?

164

What is pca in ml?

115

What are the important data pre-processing techniques in python machine learning?

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Un-Answered Questions { AI Machine Learning }

What type of learning is needed when the system needs to adapt to rapidly changing data?

124

Explain how can we use your machine learning skills to generate revenue?

What are the different categories you can categorized the sequence learning process?

What do you understand by Precision and Recall?

What is supervised and unsupervised machine learning?

142

What is the Model testing in Machine Learning?

249

Why is naive bayes used for text classification?

155

Why is Python better for machine learning?

301

What are the five popular algorithms we use in machine learning?

175

Is gpu required for machine learning?

Explain when should you use classification over regression?

What is sequence to sequence?

Explain the difference between machine learning and regression?

How a roc curve works?

How is machine learning (ml) different from artificial intelligence (ai)?

123

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