Uber – Data Science Interview Questions
Here is the list Data Science Interview Questions which are recently asked in Uber company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.
- Will Uber cause city congestion?
- What are the metrics you will use to track if Uber’s paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?
- Explain principal components analysis with equations.
- Explain about the various time series forecasting technqiues.
- Which machine learning algorithm will you use to solve a Uber driver accepting request?
- How will you compare the results of various machine learning algorithms?
- What is Data Science?
- Can you name the type of biases that occur in machine learning?
- What is boosting?
- How would you create a taxonomy to identify key customer trends in unstructured data?
- What are the basic assumptions to be made for linear regression?
- How to solve multi-collinearity?
- How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
- If we added one rider to the current SF market, how would that affect the existing riders and drivers?
- What are the different performance metrics for evaluating Uber services?
- How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?
- How will you explain JOIN function in SQL to a 10 year old ?
- How can you iterate over a list and also retrieve element indices at the same time?
- How can you assess a good logistic model?
- Are expected value and mean value different?
- What is Interpolation and Extrapolation?
- Describe the structure of Artificial Neural Networks?
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TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS
Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.
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