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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are the various types of selection bias?

346

Please explain the goal of a/b testing.

349

Do gradient descent methods always converge to the same point?

447

Explain how to define the number of clusters in a clustering algorithm?

402

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

322

What is meant by linear regression?

309

What do you understand by the selection bias?

317

What is a neural network and what are some advantages and disadvantages of such a network?

1114

what are some advantages and disadvantages of neural network?

1119

You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

62

Differentiate between inductive and deductive machine learning?

91

What are some common unsupervised tasks other than clustering?

100

How will you set the threshold for credit card fraud detection model?

157

What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

75

What are the similarities & difference between machine learning and human learning?

85


Un-Answered Questions { Artificial Intelligence }

How can AI be used to reduce dimensionality?

90


Discuss the use of AI in radiology and imaging.

80


Explain why is naive bayes better than decision tree?

73


What are the differences between L1 and L2 regularization?

103


Give a brief introduction to data mining knowledge discovery?

42


Name the steps used in data mining?

54


What is data augmentation? Can you give some examples?

110


Explain while working on a data set, how do you select important variables?

343


 Which is used to improve the performance of heuristic search? a) Quality of nodes b) Quality of heuristic function c) Simple form of nodes d) None of the mentioned

4850


Is coding required for machine learning?

82


Tell us which one would you prefer to choose – model accuracy or model performance?

99


Explain the types of machine learning?

101


What is Sequence modeling ? When we can use this ?

5


How is AI used in content creation tools?

81


Explain root cause analysis?

361