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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Please explain what is deep learning?

1

Tell me how does deep learning contrast with other machine learning algorithms?

1

Tell me how do you choose an algorithm for a classification problem?

888

Can you pick an algorithm. Write the psuedo-code for a parallel implementation?

909

Can you list some use cases where classification machine learning algorithms can be used?

935

Explain me what's your favorite algorithm, and can you explain it to me in less than a minute?

1118

Tell us why is naïve bayes machine learning algorithm naïve?

1015

Tell us how will you know which machine learning algorithm to choose for your classification problem?

960

Tell me do you have experience with spark or big data tools for machine learning?

132

Tell us which data visualization libraries do you use? What are your thoughts on the best data visualization tools?

164

Tell us which data visualization libraries do you use?

148

What are your thoughts on the best data visualization tools?

202

Tell me what is a recommendation system?

180

Tell us how do classification and regression differ?

77

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

72


Un-Answered Questions { Artificial Intelligence }

What AI trends do you find most interesting?

81


What is game playing ai?

70


Define a/b testing?

376


How can outlier values be treated?

391


If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

168


Is python good for machine learning?

73


What are the laws of the robotics?

939


Define data discretization?

295


What are components of expert systems in artificial intelligence?

882


What is prompt engineering, and why is it important for Generative AI models?

56


Can you define data reduction?

299


What are the factors used to produce "People You May Know" data product on LinkedIn?

315


How do you make good annotations?

777


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

1094


What is image dashboard in tensorboard?

1