take home assignment on a digitial health solution they are currently working on. Research solutions and present implementation plan for the company for 30 mins. Again, this is to be done before the first ever interview with the company.
Data Scientist Interview Questions
33,502 data scientist interview questions shared by candidates
Run an analysis and create a predictive model from a open dataset on bigquery
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?
Why do you want to work at McAfee?
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