What are multispectral and hyperspectral images?
Machine Learning / AI
What optimizations does Spark perform?
What are sequence-based recommendations (SASRec, BERT4Rec)?
Why are shallower trees usually used in gradient boosting than in random forests?
What are the metrics for evaluating uplift models (Qini, uplift curve)?
What are the quality metrics for generation in RAG (faithfulness, answer relevancy, context precision/recall)?
Are there any restrictions due to working with personal data?
How will you form a dataset for training such a ranker?
Tell us about your practical experience with A/B testing
How do micro and macro averaging for F1 differ in multi-class classification?
Tell us about your role and projects at [organization] in three sentences: role, key achievement, reason for leaving.
What is RNN-T (transducer) and its advantage for streaming?
Regression task: predicting stock prices in the 5th year based on 4 years of data using boosting. What mistake did we make?
Tell us about the idea of ResNet and write the code for ResidualBlock.
Will the code work with an empty string?
How can the architecture of Stable Diffusion be modified to generate not only by text but also by additional inputs (images, audio, etc.)?
What is candidate generation and what approaches are there (BM25, dense, hybrid)?
What are the pitfalls when building a knowledge graph from unstructured text?