- Questions on Linear Algebra and Coding
- Discussion of a problem at the intersection of optimization and classical machine learning
- No behavioural questions or anything about my personality or work experience, the interview was purely technical
Domande di colloquio [1]
Domanda 1
- Explain how to compute a product of two very large matrices in a computationally efficient way, using the structure of the problem and the matrices
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Citadel (Pittsburgh, PA) nel mese di mar 2016
Colloquio
Applied via my college's career website, received the interview 1 month later. The 3 interviewers were quite friendly, asked several questions in regard of machine learning algorithms and basic statistics. The machine learning questions were not the easiest one to answer, but they were really helpful in terms of giving me hints and assistance.
Domande di colloquio [1]
Domanda 1
What is the difference between GNB and logistic regression? Which one would you opt under different circumstances?
Start with my own self-introduction and the interviewer's self-introduction first for five minutes, then a couple of technical questions for like thirty minutes, and in the end, questions for the interviewers about the company.
I received the interview a few weeks after applying online. During the interview i was asked by the interviewer about my past experience and also some other related technical questions.