Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Google nel mese di dic 2016
Colloquio
Submit resume online, answer a questionnaire with about 20 questions. Then a HR arranged a phone interview and attached a review guide. I followed the guide for reviewing. But during the interview, most of questions are from my keys words in my resume. So understand and prepare explaining everything in your resume.
Domande di colloquio [1]
Domanda 1
1. Why use feature selection? If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?
2. K- mean and Gaussian mixture model: what is the difference between K-mean and EM?
3.How to decided k?
4.When using Gaussian mixture model, how do you know it is applicable? (Normal distribution)
4.If the labels are known in the clustering project, how to evaluate the performance of the model? In my project, I use adjusted rank index? But I forgot how it is defined.
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Google
Colloquio
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
Ho sostenuto un colloquio presso Google (Mountain View, CA)
Colloquio
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
