code cross entropy loss function.
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,202 machine learning interview questions shared by candidates
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
What is attention and tell me how it works?
Leetcode easy-medium, domain knowledge and background related questions
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