What happens if you remove a tree from boosting?
Machine Learning / AI
What metrics are used for OCR?
What is Mixture of Experts (MoE) and what are its advantages and disadvantages?
What algorithms are used for collaborative filtering?
What functionality is optimized during logistic regression training?
Is an accuracy of 85% considered good model quality?
What is video object segmentation and mask tracking (XMem, SAM2)?
When should hybrid search be used and how to weigh signals?
Why is convolution with a 1x1 kernel used in neural networks?
How does content filtering differ from collaborative filtering?
List the main principles of OOP.
What techniques do you use to prevent overfitting in boosting (subsample, colsample, min_child)?
What is the maximum likelihood method?
How do window functions differ from grouping (GROUP BY)?