How is a random forest different from xgboost
Machine Learning Engineer Interview Questions
6,179 machine learning engineer interview questions shared by candidates
Implement a KNN class and calculate it using L2 and Manhattan distance
What is dropout, how is it implemented at training and inference time? What problem(s) does batchnorm solve?
Questions were mostly about the take home task. - Why did you structure your solution how you did? Etc. Good advice was offered on other approaches to this task and then questions and discussions revolved around that.
A variety of machine learning, coding and data science related questions.
Shell script knowledge Git command knowledge python programming
The questions were about my research project.
How does Variational Autoencoders work? What are neural networks?
What is unit testing? What is natural language processing? How would learn a new subject? How would you teach a new concept to a coworker?
Why do you want to join the wattx group?
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