Questions relating to: permutations, hash tables, precompute
Machine Learning Research Interview Questions
127 machine learning research interview questions shared by candidates
Where do you see yourself in 5 years?
A data challenge about Kernel density estimation with Mixture of Gaussians for image data.
Tell me about the SIFT descriptor.
How Backpropagation works + math.
Tell me about where your interests lie in ML and what research you've done
typical DFS applied on trees, DAG, and graph
Asked about my background. Asked about which potential projects I was interested in from the list. Asked some basic questions on ML fundamentals (i.e. How are bias and variance related to over/underfitting) and a few more in-depth questions about specific algorithms (difference between GRU and LSTM).
How would you find feature importance in decision tree.
Deep Learning related questions and questions about my case solution (such as details on the algorithms used). Generic coding interviews such as sorting algorithms and OOP.
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