- Some very generel ML questions: Describe regression, random forrests, etc. - What is a neural network, what are its properties? - For what kind of problems would neural networks be useful, for which not? - Describe the backpropagation algorithm. - Given an image classification task with very limited data (~20 images), what are possible approaches?
They asked me to describe myself.
Q: Programming experience with CUDA and C++ ? Q: Work in the field of Computer vision ? Q: Thesis work in detail and follow up questions related to it.
Hackerrank-like questions (e.g. sorting, generating all possible number groups of two, three digits, etc.)
Se fossi disposto a spostarmi lì in zona.
Introduce your previous project
Combination of technical questions from resume and behavioral.
Questions were mainly of computer vision domain. Basic image processing stuff initially, and then questions regarding my projects were asked. Towards the last, we discussed about my responses so far.
Round 1: C++ hacerrank Screening Round 2: Interview with Co-founder Round 3: Apply RANSAC on Point Cloud data in C++ Hacerrank Round 4: Optimize RANSAC in a live coding session with the Co-founder
can you build a machine learning model?
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