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Data Science Consultant Interview Questions
40,327 data science consultant interview questions shared by candidates
They gave me an online assessment on fb and twitter metrics of Brisk Ice Tea
The technical interview required live coding. I don't recall all the details, some combinatorial problem that probably should've been easy but it's been a while since I've coded and was a bit caught off-guard by having to write code when interviewing for this job, which by all accounts would not involve individual technical contribution.
I want to drop an egg from any floor in a 18 floors tall building. What is the highest floor that is safe to drop the egg which I don't want to break ?
What is lstm How random forest works
Where does Deep Learning offer advantage compared to SVMs? Is the cost function of a DNN model convex? What about for SVM? Tell me about how you have implemented a research paper (mentioned in my resume) Basic questions about linear and logistic regressions - about their assumptions, advantages etc Overall, the questions weren't too deep.
"Which M-L algorithm does not require dealing with missing value?"
what is min of Sigma_i( |x_i -x|)
A frog stands at the origin. Each minute it jumps 1 unit to either sides (right or left) with equal probability. What is the probability it reaches -1 before it reaches +100
1. What's the relationship between PCA and k-means clustering? 2. What are the requirements for a matrix to represent a kernel? What happens if we run SVM using a 'kernel' that does not satisfy these requirements? 3. Problems using Python lists and dictionaries 4. SQL joins, aggregates (count, sum, avg), and cases 5. If you were given a dataset with [X] features (may be numerical, categorial, etc.) and you want to build a model (to determine fraudulent transactions, say), how would you determine which features are best to use in the model?
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