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 the meaning of overfitting in machine learning?

What do you understand by machine learning?

107

Why overfitting occurs?

103

Differentiate between inductive learning and deductive learning?

101

When does regularization become necessary in machine learning?

200

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

167

What are the functions of unsupervised learning?

What do you understand by decision tree in machine learning?

What is regularization? What kind of problems does regularization solve?

What do you understand by underfitting?

Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

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

What do you understand by the f1 score?

What do you understand by cluster sampling?

What are the necessary steps involved in machine learning project?

171

Un-Answered Questions { AI Machine Learning }

Please explain the concept of a boltzmann machine.

List out some important methods of reducing dimensionality.

How will you explain machine learning into a layperson?

What is a bayesian model?

Why is python best for machine learning?

Explain what is a recommendation system?

Is gpu required for machine learning?

What is the Model Building in Machine Learning?

126

What is an AdaGrad algorithm in machine learning?

What are the areas in robotics and information processing where the sequential prediction problem arises?

What is the purpose of machine learning?

105

Explain the difference between L1 and L2 regularization?

129

Tell me how much data will you allocate for your training, validation and test sets?

169

What is a model selection in machine learning?

What laptop is good for machine learning?

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