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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Give a drawback of gradient descent ?

78

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

65

What is adagrad algorithm in machine learning?

102

What kind of problems lend themselves to machine learning?

63

What is the difference between supervised and unsupervised learning?

94

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

177

What are standardization and normalisation?

97

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

88

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

64

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

115

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

62

Tell me what is a recommendation system?

172

Tell us how do classification and regression differ?

77

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

70

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

129


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

How do I become a machine learning scientist?

103


What is accuracy score in machine learning?

114


Can you name some feature extraction techniques used for dimensionality reduction?

64


What are the advantages of Naive Bayes?

118


What is the “curse of dimensionality?

96


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

64


What is dimension reduction in Machine Learning?

169


Explain me what's the trade-off between bias and variance?

91


What are the different categories you can categorized the sequence learning process?

90


Why do we need to convert categorical variables into factor?

76


What is the difference between Type 1 and Type 2 errors?

136


Explain the function of Supervised Learning?

86


Explain me how would you handle an imbalanced dataset?

66


What is Model Selection in Machine Learning?

121


Which language is better for machine learning r or python?

95