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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you handle missing or corrupted data in a dataset?

73

What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

75

What are the last machine learning papers you've read?

113

Explain what is deep learning, and how does it contrast with other machine learning algorithms?

1

What is deep learning, and how does it contrast with other machine learning algorithms?

1

Explain the difference between bias and variance?

91

Define a fourier transform?

100

Explain how is knn different from k-means clustering?

122

How would you use f1 score?

93

How is bayes' theorem useful in a machine learning context?

64

Explain the difference between type I and type ii error?

67

Define kernel svm?

68

How would you use fl score?

69

Explain how do classification and regression differ?

155

Explain how do you ensure you're not overfitting with a model?

123


Un-Answered Questions { Artificial Intelligence }

Is it possible to perform logistic regression with Microsoft Excel?

384


Explain tiers in the tight-coupling data mining architecture?

32


What are the most exciting and concerning aspects of AI development?

92


What is the main operation in tensorflow?

1


What are the key technologies behind autonomous vehicles?

88


What challenges do AI-powered education systems face?

102


Explain the concept of spiking neural networks.

70


What do you understand by reinforcement learning technique?

151


What is data set in ml?

124


What is Seq2Seq Tensorflow?

121


Can you define cluster sampling?

410


What is augmented human intelligence?

907


How do SNNs differ from traditional Artificial Neural Networks (ANNs)?

81


How can you deal with multi-source problems?

33


Give an example of a data set that has a non-gaussian distribution?

349