What experience I had .
Machine Learning Engineer Interview Questions
6,160 machine learning engineer interview questions shared by candidates
Regarding machine learning projects and machine learning topics
What are the three stages to build the hypotheses or model in machine learning?
Basic accuracy metric derivations from a model
What does regularization mean?
About my current projects, what tech stack I have used, about Docker, some basic questions about ML (i.e. difference between supervised and unsupervised learning and example of each). For the live coding, I was given a positive integer k and was asked to find all the possible moving windows (find starting and ending points) of values [1, 2, 3, 4, ...] whose sum would add up to k.
Questions ranged from - How to scope project requirements and communicate with stakeholders? - Describing key milestones for a project with an ML component. - Going over the 3D / Computer Vision tech stack from low-level OpenCL/Metal/CUDA/Shaders, to Python-based ML workflow, up to C# App Development.
What is the project you have worked on in the past? What is the project you have worked on in the past? What is the project you have worked on in the past? What is the project you have worked on in the past?
multi label classification on image features
What Machine Learning Projects I have completed & brief enquiries about the development process
Viewing 61 - 70 interview questions