Describe a project you worked on that had a large rate of error
Data Sciences Interview Questions
10,899 data sciences interview questions shared by candidates
Concepts of Data cleaning, manipulating.
These are medium questions on array and strings
Round 2 : Case based technical interview. Given a problem they face, specify underlying assumptions and design an ML model and how to evaluate it.
Case study: Suppose you're building a model to detect bombs at a border crossing. How do design its inputs and outputs, measure accuracy, etc?
What is Variance and Bias? How do you decide whether one classification algorithm is better than the other? What is a naive bayes classifier? Describe neural network Draw a confusion matrix and calculate precision and recall Coding questions included binary tree implementation and computing ngrams in python.
Describe the value on a set of data provided a week before the interview.
Tell me about yourself. Why do you want to work at Mastercard?
Explica tus ultimos proyectos en los que has trabajado
Case study on Miscellenious data
Viewing 3341 - 3350 interview questions
See Interview Questions for Similar Jobs
Data ScientistData EngineerPredictive ModelerData AnalystManager Marketing AnalyticsDirector DataData Visualization ConsultantMachine Learning EngineerInformation DesignerDirector Of AnalyticsData InternshipData Visualization SpecialistManager AnalyticsHead Of AnalyticsMarketing Analytics ManagerData Visualization DeveloperBig Data ConsultantData Visualization Software Engineer