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?

150

Tell us how is a decision tree pruned?

133

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

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

158

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

165

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

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

728

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?

113

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

127

What is a fourier transform?

102

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 }

Explain me how would you handle an imbalanced dataset?

What skills do you need for machine learning?

What do you mean by ensemble learning?

120

What are the similarities & difference between machine learning and human learning?

What are some common unsupervised tasks other than clustering?

112

What is a sigmoid function in Machine learning?

150

Describe 'training set' and 'training test'.

How do I become a machine learning scientist?

107

Explain machine learning in to a layperson?

What is a recommendation system?

144

What Is Fourier Transform In A Single Sentence?

163

What do you understand by Precision and Recall?

107

Explain the decision tree classification?

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

How do deductive and inductive machine learning differ?

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