Bagging vs Boosting, overfitting dealing techniques, etc
Sr Data Scientist Interview Questions
3,383 sr data scientist interview questions shared by candidates
Basic questions on ML and DL.
Technical and behavioral
Around my previous experience basically my CV and ML related questions.
2- deep learning, cnn, rnn and regular ML questions, regularization, SVM, bias variance trade off, batch normalization, PCA, PLS
how to customize a trained deep learning model
Why do you want to work for Verizon?
1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Tell me about your experience describe one of your projects in detail. some typical machine learning questions. dynamic programming coding.
Data Scientist Questions, Data Eng. Questions -> Technical Background Questions
Viewing 3371 - 3380 interview questions
See Interview Questions for Similar Jobs
Jr Data ScientistData Scientist TraineeData Science EngineerSenior Machine Learning ScientistApplied Research ScientistSenior Data ScientistMachine Learning Research EngineerData Scientist NlpMachine Learning Research ScientistSenior Machine Learning EngineerData SciencesMachine Learning ScientistSoftware Engineer Machine Learning ScientistNlp Data ScientistResearch Scientist Computer VisionApplied ScientistSr. Data ScientistSenior Quantitative Researcher