Classic interview questions. On prem interview which is fairly hard.
Senior Machine Learning Scientist Interview Questions
467 senior machine learning scientist interview questions shared by candidates
ML: What is a difference between supervised and unsupervised learning? Give an example of both. How SVM algorithm works (general description)? How to make sure you are not overfitting while training a model? How you measure accuracy or the error rates? Spark: What is RDD? Why would you ever cache an RDD?
I couldn't share the interview questions.
scenario based question on NER
Sentiment Analysis assignment for some public reviews data set.
Given a model that gives the likelihood that a loan is fraudulent, how should you proceed?
There are only online code tests
Describe your experience with AWS
ML recommendation algorithms Basic coding problem Case study
How would you deal with unbalanced data? Which are the assumptions of the linear regression?
Viewing 191 - 200 interview questions
See Interview Questions for Similar Jobs
Senior Machine Learning EngineerSoftware Engineer Machine Learning ScientistMachine Learning ScientistData Scientist NlpData Science EngineerApplied ScientistSr Data ScientistMl EngineerMachine Learning ConsultantAi Machine Learning EngineerData Scientist TraineeDeep Learning ScientistJr Data ScientistPython EngineerData Science ConsultingJunior Machine Learning EngineerPython Machine Learning EngineerPrincipal Data Scientist