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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Why do ensembles typically have higher scores than individual models?

180

What is regularization? Can you give some examples of regularization techniques?

105

What is the curse of dimensionality? Can you list some ways to deal with it?

122

What is an imbalanced dataset? Can you list some ways to deal with it?

122

Can you explain the differences between supervised, unsupervised, and reinforcement learning?

109

What is data augmentation? Can you give some examples?

110

What are convolutional networks? Where can we use them?

107

What will you do if removing missing values from a dataset cause bias?

Airbnb,

362

How can you reduce bias in a given data set?

Airbnb,

358

How will you impute missing information in a dataset?

Airbnb,

347

Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.

Amazon,

343

How will inspect missing data and when are they important for your analysis?

Amazon,

387

How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.

Amazon,

292

From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.

Amazon,

328

How can you compare a neural network that has one layer, one input and output to a logistic regression model?

Amazon,

292


Un-Answered Questions { Artificial Intelligence }

Can you describe an example of how Edge AI is used in industrial automation for predictive maintenance?

94


What are Hyperparameters?

5


What is a difference in robot system and ai programs?

877


How would you test a machine learning system in production?

92


What does linear in ‘linear regression’ actually mean?

178


What do you understand by underfitting?

88


Explain the density-based method?

36


Tell me what are the last machine learning papers you've read?

206


What is the k-means clustering method?

376


Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?

338


What is a jupyter notebook?

360


What metrics are used to evaluate the quality of generative outputs?

42


What do you understand by Eigenvectors and Eigenvalues?

114


What is the importance of data cleaning in analysis?

319


What are Tensorflow servables?

5