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You are creating a report for user content uploads every month and observe a sudden increase in the number of upload for the month of November. The increase in uploads is particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?
401You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?
313Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.
332You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?
337Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
338How can you build and test a metric to compare ranked list of TV shows or Movies for two Netflix users?
566How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
430Post New Data Science Questions
How to solve multi-collinearity?
How and by what methods data visualizations can be effectively used?
Define some key performance indicators for the product
What is selection bias and why does it matter?
Explain root cause analysis?
How do data scientists code in r?
Explain recommender system?
Do you prefer python or r for text analytics?
A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.
What do you understand by ensemble learning?
What do you know about autoencoders?
What is data science? How would you say it is similar or different to business analytics and business intelligence?
Explain the difference between a test set and a validation set?
What do you understand by Linear Regression in R?
What does Machine Learning mean for the Future of Data Science?
