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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is systematic sampling?

329

How to understand the problems faced during data analysis?

339

How is data modeling different from database design?

313

How to choose the right chart in case of creating a viz?

315

Can you provide examples for other computations in spark?

275

Describe univariate, bivariate and multivariate analysis?

298

Can you enumerate the various differences between supervised and unsupervised learning?

323

what is the difference between extrapolation and interpolation?

357

How do you work towards a random forest?

321

If you had to choose between the programming languages r and python, which one would you use for text analytics?

399

What are the various steps involved in an analytics project?

337

What do you understand by linear regression and logistic regression?

387

Why data cleaning plays a vital role in the analysis?

386

What is a/b testing in data science?

347

Please explain recommender systems along with an application?

359


Un-Answered Questions { Artificial Intelligence }

What is the difference between Type 1 and Type 2 errors?

142


What do you understand by Linear Regression in R?

605


What is the output of the given statement? * (defclass article() ((title :accessor article-title :initarg :title) (author :accessor article-author :initarg :author))) * (defclass computer-article (article) ()) * (defclass business-article (article) ()) * (defclass political-article (article) ()) * (setf articles (list (make-instance ‘business-article :title “Memory Prices down”))) a) Business article b) Political article c) Business article

1186


Explain data wrangling?

343


What is the significance of AI applications across industries?

67


What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?

5


 What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

1916


What are some environmental applications of AI?

74


What do you mean by parametric models?

87


What is the way of dealing with “exploding gradient” problem in rnns?answer: gradient clipping, the gradient is set to the threshold. Gradient clipping will chop the gradients or restricts them to a threshold value to prevent the gradients from getting too large.

903


How do data scientists code in r?

340


What are eigenvalue and eigenvector?

354


What is morpheme natural language processing terminology?

900


What background is necessary to understand and work with quantum AI?

79


What is unsupervised learning?

83