Questions were about previous experience and required skills. Besides, a programming assignment was given. At the end, there were questions about working as a part of the team.
Learning Engineer Interview Questions
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SVD (singular value decomposition)
Technical q: Last projects and general knowledge in DL. HR q: General behavior questions.
What are problems connected with smart health devices?
Coding questions: Some were easy, while some were classical Computer Science problems such as Longest Increasing Subsequence, Optimal Assignment Problem, find a convex hull etc. and there were a few easy CS/data science written and/or multiple choice questions. Management Interview: Tell me something about yourself and your work, what are you looking for, when are you available to join, what is your desired salary.
iExplain the past experience; Answer questions of basic concept based on the past project experience; Simple coding challenge.
Tell us what you have done How do you approach a problem?
A lot of questions about machine learning models, including random forest, neural network, and logistic regression.
1. Machine learning algorithm based questions 2. Difference between bagging and boosting 3, Why Naive Bayes is called naive 4. Assumptions made in linear regression 5. Questions from Resume 6. Scenario based questions
Build a machine learning model to map the measurement of three accelerometer time series data with a time series data of an optical sensor
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