Explain Boosting, Random Forest, Bootstrap Aggregation.
Applied Scientist Interview Questions
1,159 applied scientist interview questions shared by candidates
ML depth and breadth questions: - What is an ensemble method? - Do you know logistic regression? - What are some regularization techniques for neural networks? - What is overfitting? - L2 regularization vs L1 regularization - Example of hypothesis testing - How do you evaluate a ML model? - Give some examples of classification algorithms ... Behavioral questions: - Tell me of a time you had a tight delivery and you were not able to deliver in time. - Tell me of a time when you helped someone without any ulterior motive
Case questions that test my knowledge in the specific area. For the bar raiser it is almost all behaviorial.
House Robber from Leet Code
Basic probability/statistics questions, simulation and coding
How would you approach *some problem* for the Amazon store
ML round - asked questions about overfitting, model design, precision, recall, F1 scores Coding round - design algorithm to implement byte pair encoding
They asked a lot of behavioral questions. Regarding the technical questions, they asked computer vision (6 DoF pose estimation methods, YOLO, image segmentation), statistics (covariance, p-value, distributions), classic machine learning algorithms (SVM, clustering, linear regression), deep learning, regularization methods. The coding question a typical leetcode question (easy level).
Did you make any decisions without letting your manager know?
Explain Dropout, how it works and why?
Viewing 1031 - 1040 interview questions
See Interview Questions for Similar Jobs
Deep Learning ScientistMl EngineerData Scientist NlpSenior Machine Learning ScientistDeep Learning Data ScientistApplied Research ScientistNlp Data ScientistAi Machine Learning EngineerDeep Learning Research EngineerApplied ResearchJr Data ScientistArtificial Intelligence ScientistData Scientist TraineeDeep Learning / Machine Learning ResearcherJunior Machine Learning EngineerApplied Machine Learning EngineerSenior Machine Learning EngineerMachine Learning Researcher