About my research and its applications.
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
OA: Anagram, factors of number Ml fundamentals: what is precision, recall types of ml problems explain l1 vs l2 explain how clustering works and many more fundamental questions.
Explain Boosting, Random Forest, Bootstrap Aggregation.
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).
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