the meaning of cross entropy loss
Machine Learning Consultant Interview Questions
8,198 machine learning consultant interview questions shared by candidates
3 ROUND INTERVIEW, FINAL ROUND INCLUDES SYSTEM DESIGN
code cross entropy loss function.
In the first-round interview, questions focused on optimizer usage in ML (SGD vs. Adam, learning rate scheduling), a LeetCode problem on implementing MinStack with O(1) retrieval of the minimum element, and resume-based discussions on past projects, technical challenges, and problem-solving approaches in distributed systems and NLP.
Hackerrank online assessment. 5 questions intotal, 2 MCQs and 3 coding questions. First two are leetcode easy to medium, and the last one is leetcode hard. They do test you on linux stuff even if you are applying for a machine learning position.
basic ML questions, leetcode medium/hard
First round: transformer related questions, basic computer vision questions. Second round: multi-modal models, e.g., Blip2. How to locate small objects.
First round technical interview. 15 minutes questions on Resume 15 minutes Leetcode Medium 30 min Leetcode Hard
An online test regards to python and sql
They asked about key ML architectures like resnets/transformers
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