There're three programming questions (with few details about pretended results) where I develop Python scripts importing the NumPy library. The remaining one is more theoretical implying a code explanation. All of them are related to the Computer Vision field.
What's the difference between instance based learning and model based learning?
Why are you interested in Atrium?
Particularly related to computer vision models.
The problem is general and designed according to the app in the company. Define and narrow down the scale of the problem. Then dive deep through the general process of the general system design problems.
Interviews where based on resume and position applying for.
I was asked to discuss the trade-offs of an in-development product that was similar to the technology I worked on at a previous employer.
questions about my background, why I wanted to work here, communication/collaboration examples etc
Talk about your experience of machine learning.
Regarding the ML and Deep Learning Concepts and implementation.
Viewing 7281 - 7290 interview questions