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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is data normalization?

1

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

67

What is the difference between heuristic for rule learning and heuristics for decision trees?

69

what is the function of ‘supervised learning’?

66

Explain cross-validation.

77

What is unsupervised learning?

83

How do you control for biases?

95

Do gradient descent methods at all times converge to a similar point?

129

Explain the various benefits of r language?

73

Why data cleansing is important in data analysis?

93

What are the two main components of the hadoop framework?

73

What are confounding variables?

132

Differentiate between data science, machine learning and ai.

77

Give examples of machine-to-machine communications?

70

What is root cause analysis?

164


Un-Answered Questions { Artificial Intelligence }

Differentiate between tf.variable and tf.placeholder.

1


What are combination, activation, error, and objective functions?

1349


Can you describe the importance of model interpretability in Explainable AI?

89


What is the difference between “long” and “wide” format data?

339


What is adagrad algorithm in machine learning?

106


What is gradient descent, and how does it work?

84


Why naïve bayes is called naïve?

105


How does deep learning relate to ai?

1


If we added one rider to the current SF market, how would that affect the existing riders and drivers?

388


Can you define power analysis?

337


Can you cite some examples where both false positive and false negatives are equally important?

400


What contributes to artificial intelligence?

939


What are the differences between knowledge representation methods like Semantic Networks and Ontologies?

107


How does AI improve vehicle safety features?

77


What is chi-square tests?

373