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

Tell us how do deductive and inductive machine learning differ?

146

Tell us how is a decision tree pruned?

131

Tell us which do you think is more important: model accuracy or model performance?

What is the f1 score? How would you use it?

154

What is the difference between type I and type ii error?

161

What's the “kernel trick” and how is it useful?

How do you think google is training data for self-driving cars?

698

Name some feature extraction techniques used for dimensionality reduction?

What are some differences between a linked list and an array?

How can we use your machine learning skills to generate revenue?

111

How do you ensure you're not overfitting with a model?

125

What is a fourier transform?

100

Why is “naive” bayes naive?

How do deductive and inductive machine learning differ?

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

150

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Un-Answered Questions { AI Machine Learning }

Is Python enough for machine learning?

100

What is the classification model in machine learning?

254

What is the difference between probability and likelihood?

164

What are the three stages of building the hypotheses or model in machine learning?

What is non symbolic Interactionism?

What is machine learning good for?

What are PCA, KPCA, and ICA used for?

What is an AdaGrad algorithm in machine learning?

What is bucketing in machine learning?

120

What are the similarities and differences between bagging and boosting in machine learning?

How do I learn Python machine learning?

161

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

110

What is a class in machine learning?

103

Tell us how do you ensure you're not overfitting with a model?

167

What is dimension reduction in Machine Learning?

175

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