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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain gradient descent?

1

What do you understand by algorithm independent machine learning?

66

What is the difference between data mining and machine learning?

171

Describe the classifier in machine learning.

73

What is the method to avoid overfitting?

156

What is a model selection in machine learning?

79

How is machine learning used in day-to-day life?

78

What do you understand by reinforcement learning technique?

147

What are the functions of supervised learning?

94

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

74

What are the different types of algorithm methods in machine learning?

71

What are the three stages of building the hypotheses or model in machine learning?

82

How does machine learning differ from deep learning?

63

What is svm in machine learning? What are the classification methods that svm can handle?

223

What do you know about bayesian networks?

103


Un-Answered Questions { Artificial Intelligence }

Explain the goal of a/b testing?

281


Will Uber cause city congestion?

378


What do you mean by Overfitting? How to avoid this?

132


When will you use classification over regression?

118


What are Tensorflow servables?

5


What are some of the benefits of using a blue prism for robotics?

897


Difference between model accuracy or model performance?

889


How to work towards a random forest?

380


What is a generating function?

309


What do you mean by "overfitting"?

1


Define the term cross-validation

276


How do you treat outlier data?

298


Is coding required for machine learning?

74


What is a history of data mining?

45


What are tensorflow servables? Also, explain tensorflow serving.

1