How often should an algorithm be updated?
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Explain types of clustering algorithm?
Can you explain recommender system?
What is supervised learning?
You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
How is true positive rate and recall related?
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?
What is meant by supervised and unsupervised learning in data?
How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?
How and by what methods data visualizations can be effectively used?
What cross validation technique would you use on time series data set? Is it k-fold or loocv?
How will you design a recommendation engine for jobs?
Please explain the role of data cleaning in data analysis.
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