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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by cluster sampling?

60

What are the necessary steps involved in machine learning project?

179

How is knn different from k-means?

83

What is the trade-off between bias and variance?

73

Which are the two components of bayesian logic program?

78

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

95

What are the common ways to handle missing data in a dataset?

111

What do you understand by ilp?

87

What are the recommended systems?

129

Describe precision and recall?

158

What according to you, is more important between model accuracy and model performance?

174

Describe dimension reduction in machine learning.

89

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

93

Describe 'training set' and 'training test'.

96

What do you understand by the confusion matrix?

98


Un-Answered Questions { Artificial Intelligence }

What is natural language generation (nlg)?

917


What is a z test, chi square test, f test and t test?

390


What are the sources in tensorflow?

1


Why is building a strong data foundation crucial for Generative AI initiatives?

587


How do you define data science?

357


How do you optimize code for performance?

1150


Explain eager execution?

3


What are the loaders of tensorflow?

1


What is meant by sampling? Explain some sampling methods that you know?

378


How does AI improve virtual assistants like Alexa or Siri?

91


Can you explain data cleansing?

380


Explain Examples of Data Science?

391


List out the libraries in python used for data analysis and scientific computations?

357


Differentiate between type I and type ii error?

376


Discuss linear regression?

368