If your training data classification accuracy is 80% and test data accuracy is 60% what will you do?
Perguntas de entrevista de Machine Learning Manager
33 Perguntas de entrevista compartilhadas pelos candidatos | machine learning manager
Tell us about your projects and how you did them.
A good mixture of technical questions and behavioral questions. This is definitely not a just people manager role. Xnor have high standards and they are proud to have that.
Had an HR round and then a technical round where we talked about projects and then a case study. The issue is that the case study is a tough problem that they are dealing with; that is, something they have a whole team dedicated to and have been thinking about for months to years. Yet you are supposed to solve it in just a few minutes! So it really is not a fair assessment but that's how all tech interviews are today. One thing was the interviewer kept interrupting and didn't let me finish so I just figured he was trying to drive me toward to a set of exploratory questions on the case study. I did answer every question but got turned down.
What is a healthy team?
Why are you looking to leave your current job? and other standard questions.
Was given a set of annotation guidelines for NER and was asked how I would improve them / what is missing etc.
why Deloitte and why now
previous experience in leading projects
ML Model performance, deployment, tuning
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