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Data Science Interview Questions
Questions Answers Views Company eMail

What are the different deep learning frameworks?

348

What is the supervised learning?

336

A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1469

Is 8gb ram enough for data analysis?

391

What is the best laptop for data science?

316

How much ram do I need for data science?

321

Which laptop is best for data analysis?

352

What laptop should I buy for data science?

338

Is macbook good for data science?

326

Can you explain unsupervised learning?

374

Can you explain eigenvalue and eigenvector?

337

Can you define power analysis?

330

How do you treat missing values during analysis?

321

Can you explain collaborative filtering?

446

Which one would you prefer for text analytics python or r?

308


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you explain data cleansing?

317


What is interpolation and extrapolation?

410


What do you know about autoencoders?

346


What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?

309


Explain how to merge the files into a single dataframe?

356


Explain the difference between Supervised and Unsupervised Learning through examples.

363


Explain eigenvalue and eigenvector

319


How would you create a taxonomy to identify key customer trends in unstructured data?

394


Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

328


Can you provide an example of features extraction?

333


Explain the benefits of using statistics by data scientists

342


What is the advantage of performing dimensionality reduction before fitting an svm?

299


How can you check if a data set or time series is random?

345


Define an algorithm to discover when a person is starting to search for new job.

358


How can you compute an inverse matrix faster by playing with some computation tricks?

328