Was asked to discuss a machine learning case study
Machine Learning Scientist Interview Questions
510 machine learning scientist interview questions shared by candidates
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Difference between supervised vs unsupervised learning.
What features were used for your projects?
How would you defend the Boston Marathon from the threat of aerial drone attacks?
usual stuff about model evaluation and deployment
They asked me to implement a sparse matrix from scratch, without relying on any existing matrix or linear algebra libraries. This required designing an efficient internal data structure to store only the non-zero elements, rather than allocating memory for the entire matrix. In addition to the core representation, I needed to implement both addition and multiplication operations, making sure they handled sparsity correctly, maintained good performance, and produced accurate results even when matrices had different sparsity patterns.
Python coding - fetch longest palindromic substring
ML and coding . No questions on cultural fit.
Topological sorting problems on LC
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