What is Inverse Propensity Scoring in LTR?
Machine Learning / AI
What types of SCD exist and how is the history formed in tables?
How to organize a control group (mock) in risk models?
How to design an agent that responds to a user based on transactional database data: what stack and architecture are needed, should multi-agent systems be used?
You go too deep into the technology when asked to talk about simple things. How would you comment on this?
What are star, snowflake, and Data Vault schemas?
What approaches are used for anomaly detection in logs and metrics?
Why is a look-alike task needed?
What is the Bonferroni correction and how does it work?
Что такое DocVQA?
How does the Viterbi algorithm work?
What was the final sample size and how many initial and selected features were in the project?
How does TF-IDF differ from frequency representation and why is it needed?
How was the process of deploying the model to production? Did you prepare documents and artifacts for MLOps, have access to production stands, and could you run pipelines independently?
How would you visualize outliers in thematic assessments to understand how much they influence the overall picture?
What is target encoding for categorical features over time and how to avoid leakage?
What is meta-prompting and what are its use cases?
What should be considered when optimizing an SQL query?