How to spot and deal with overfitting?
Machine Learning Research Engineer Interview Questions
1,879 machine learning research engineer interview questions shared by candidates
Algorithm design and working style.
What work have I done previously.
make code review of algorithm code
What does MLOps mean to you?
Describe generalization in the context of training ML models
Modelli probabilistici in ML (e.g. processi Gaussiani)
1. Deploy an ML Model as a REST-API Of your choosing, please deploy a computer vision machine learning model as a rest- api. The API should be written in Python. The API should be able to accept an image/video and return the output as JSON. An example: You could deploy a face recognition model that takes an image and returns the co-ordinates of the bounding box(es) localizing the face(s). Requirements An API endpoint that accepts an image and returns a result as JSON. Package the API in a Docker image for deployment. Optional Unit tests A log of all POST requests with timestamps. Ideally, persisted in a database. The assignment should contain all the code required to run it locally. For example, be sure to include Dockerfiles. The code should also be accompanied by documentation. Also provide a brief summary of your approach and discuss potential improvements.
What is variance and bias?
What is machine learning and it’s applications
Viewing 751 - 760 interview questions
See Interview Questions for Similar Jobs
Machine Learning EngineerMachine Learning Research ScientistMachine Learning ResearcherMachine Learning ResearchMachine Learning ConsultantMachine Learning SpecialistData Scientist TraineeData Science EngineerSenior Machine Learning EngineerMachine Learning ScientistMachine Learning DeveloperAi Machine Learning EngineerMl EngineerArtificial Intelligence DeveloperIntern Data ScientistJunior Machine Learning EngineerSenior Computer Vision EngineerSenior Data Scientist