AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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What is calibration in machine learning?

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

Explain the Algorithm Technique of Transduction in Machine Learning?

Explain the Algorithm Technique of Learning to Learn in Machine Learning?

162

What is the Model Building in Machine Learning?

126

What is the Model testing in Machine Learning?

243

What is the Applying the model in Machine Learning?

127

Explain the Genetic Programming in Machine Learning?

Explain the Inductive Learning in Machine Learning?

What is sequence classification?

159

What is sequence model?

106

What is keras sequential model?

344

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Un-Answered Questions { AI Machine Learning }

What are the three stages to build any model in machine learning?

Do gradient descent methods at all times converge to a similar point?

123

Is coding required for machine learning?

Differentiate between inductive learning and deductive learning?

101

Explain the difference between type I and type ii error?

Difference between Classification and Regression?

306

Is Python enough for machine learning?

What should I learn before machine learning?

186

How To Handle Or Missing Data In A Dataset?

186

What is an imbalanced dataset? Can you list some ways to deal with it?

119

How do I become an expert in machine learning?

What is an Incremental Learning algorithm in ensemble?

How would you handle an imbalanced dataset?

190

Which one would you prefer to choose – model accuracy or model performance?

175

What do you understand by reinforcement learning technique?

146

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