How is a random forest different from xgboost
Machine Learning Engineer Intern Interview Questions
8,210 machine learning engineer intern interview questions shared by candidates
Computer Vision pipeline, ML training, custom loss functions, conceptual situation-type questions, classical ML questions.
Some questions about the mathematics/theory of deep learning and about the machine learning pipeline.
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?
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