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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?

76

What is the difference between data mining and machine learning?

185

Describe the classifier in machine learning.

87

What is the method to avoid overfitting?

162

What is a model selection in machine learning?

87

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

86

What do you understand by reinforcement learning technique?

151

What are the functions of supervised learning?

96

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

81

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

75

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

88

How does machine learning differ from deep learning?

72

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

225

What do you know about bayesian networks?

103


Un-Answered Questions { Artificial Intelligence }

What is the science of data in simple words?

347


What do you mean by finite automata?

62


Explain the decision tree algorithm?

401


How are weights initialized in a network?

1135


What is true artificial intelligence?

1007


Is machine learning artificial intelligence?

91


How is true positive rate and recall related? Write the equation.

322


Can you describe an example of how Neuromorphic Computing is used in robotics for improved control and navigation?

87


Why are gpus good for deep learning?

1


How can you one hot encoding in tensorflow ?

5


What are pretrained models, and how do they work?

44


Which one you prefer R or Python for text analytics?

405


What are tensor cores?

1


What do you understand by Precision and Recall?

99


What is game playing ai?

70