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

Give a drawback of gradient descent ?

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

What is adagrad algorithm in machine learning?

108

What kind of problems lend themselves to machine learning?

What is the difference between supervised and unsupervised learning?

103

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

187

What are standardization and normalisation?

118

What is bias-variance trade-off in machine learning?

Does 100% precision mean that our model predicts all the values correctly?

Why do we convert categorical variables into factor? Which function is used in r to perform the same?

117

How much data will you allocate for your training, validation and test sets?

Tell me what is a recommendation system?

192

Tell us how do classification and regression differ?

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

Explain me what cross-validation technique would you use on a time series dataset?

136

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Un-Answered Questions { AI Machine Learning }

What are the two classification methods that SVM ( Support Vector Machine) can handle?

Explain why is naive bayes better than decision tree?

What do you understand by underfitting?

116

What is class-imbalanced dataset in machine learning?

134

What is difference between supervised and unsupervised learning algorithms?

104

What do you understand by the f1 score?

What is ensemble learning?

104

What is an AdaGrad algorithm in machine learning?

101

Choose any machine learning algorithm and describe it.

261

Explain how do classification and regression differ?

159

When to use ensemble learning?

131

What is the curse of dimensionality? Can you list some ways to deal with it?

128

What is Training set in machine learning?

215

What is sequence to sequence?

100

Tell us where do you usually source datasets?

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