You are currently studying in the final year of master's degree, right? How did you combine studying with work?
Machine Learning / AI
What do we do with the data to get the difference between models in bagging?
Are we leaving boosting as a model, or how?
How to measure the quality of a binary classification model? What metrics do you know?
Tell us about Accuracy: advantages, disadvantages, pitfalls.
What is aleatoric and epistemic uncertainty?
What is a probabilistic conversion model?
What is a stem network in CNN classifiers?
What is NaN and in what cases does it occur?
Do you have a large team?
What is ELBO and why is it maximized?
What is the difference between list and tuple?
Is it bad to hang indexes on all fields and why?
Why did you choose a technical field with a humanitarian education?
What is bootstrap?
What methods can be used for image generation (GAN, VAE, diffusion, autoregressive)? What are the pros and cons of each.
How does the support process occur: through git or manually?
What are contextual bandits and where are they applied?
How to simplify ResNet50 in a classification task?
How do you approach solving an SQL problem?