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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How will you explain machine learning into a layperson?

67

What do you mean by parametric models? Also, give some examples of them?

67

Why do we convert categorical variables into factor?

104

What type of learning is needed when the system needs to adapt to rapidly changing data?

124

How to decide one problem is a machine learning problem or not?

194

What is the sigmoid function in machine learning?

114

Give a drawback of gradient descent ?

84

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

71

What is adagrad algorithm in machine learning?

106

What kind of problems lend themselves to machine learning?

67

What is the difference between supervised and unsupervised learning?

98

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

185

What are standardization and normalisation?

107

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

95

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

66


Un-Answered Questions { Artificial Intelligence }

What is svm algorithm?

141


What do you understand by selection bias?

192


What are diffusion models, and how do they differ from GANs?

52


What is advantage of using apply family of functions in r? How do you use lambda in python?

381


What is the advantage of performing dimensionality reduction before fitting an svm?

304


use of intranet facility in infosys

2542


What are the pros and cons of using cloud-based versus on-premise solutions for AI?

85


What is sentiment analysis, and how is it used in financial markets?

83


Explain about the box cox transformation in regression models?

302


Explain data normalization.

1


Explain what are different stages of 'data mining”?

56


Is intelligence inherited?

901


Explain what is precision and Recall?

102


What Is The Difference Between An Array And Linked List?

94


What is the variance?

848