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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is machine learning artificial intelligence?

106

Why is Python better for machine learning?

301

Is Python enough for machine learning?

100

How do I learn Python machine learning?

161

What should I learn before machine learning?

192

Is octave good for machine learning?

81

Why do we use Python and machine learning AI?

95

How difficult is machine learning?

117

Which Python library is used for machine learning?

191

How do I become an expert in machine learning?

101

How do I become a machine learning scientist?

107

Explain Principal Component Analysis (PCA)?

139

What value do you optimize when using a support vector machine (SVM)?

114

What is inductive machine learning?

126

What is the activation function in Machine Learning?

142


Un-Answered Questions { Artificial Intelligence }

How can post-processing techniques help ensure fairness in AI outputs?

1


What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?

1096


How can AI help financial institutions with stock price prediction?

1032


What ethical concerns arise in deploying autonomous systems?

86


The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False. a) True b) False

1929


Difference between machine learning and deep learning?

5


What are the challenges in developing truly autonomous vehicles?

65


Why is harmonic mean used to calculate f1 score and not the arithmetic mean?

109


What are the differences between overfitting and underfitting?

427


What is a vector database, and how is it used in LLM applications?

67


List down various approaches for machine learning?

69


What is bagging in Machine Learning?

103


Explain areas where data mining has good effects?

35


What is the objective of machine learning?

197


Explain what is naive bayes in machine learning?

83