What are the techniques would you use so that the graph-CNNs scale well?
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
Q: What is the difference between bagging and boosting? Q: Explain K-means. etc.
Tell me about a time you had a strict deadline and how you handled the situation.
How to build a recommender system from product description. What is SGD and why and when does it work, and how to improve.
Typical leetcode questions. Even the recruiters advised me to "practice" on leetcode before the interviews. Total waste of time ML depth round was not a depth round at all. Interviewer was busy taking notes and didn't probe the concepts further "Name all the hyperparameters of boosting model - XGB and/or GBM" Simpler alternative is to replace all interviewers with automated tests. I felt like I was talking to computers. I prefer leetcoding and attending multiple choice ML questions over talking to people who mechanistically follow instructions
How would you represent simple arithmetic as a computer program?
Describe an occasion where you completed a task out of your comfort zone.
Leadership questions as they described in the given materials.
SQL questions, some ML focused stats questions ( explain difference between boosting and bagging) and a coding challenge (design function to recognize a palindrome number)
Count the No. of Islands in a 2D Grid
Viewing 471 - 480 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