What is data versioning and how does it compare DVC, LakeFS, lakeFS?
Machine Learning / AI
How do micro and macro averaging for F1 differ in multi-class classification?
What are A2C and A3C?
What is the DART mode in boosting?
What anomaly detection methods are specific to time series?
L2 regularization in XGBoost — which coefficients does it impose restrictions on?
What techniques are used to combat position bias in click signals?
What is LOF (Local Outlier Factor)?
What is post-processing OCR (lexicon, language model rescoring)?
What popular AutoML solutions are there (H2O, AutoGluon, FLAML, AutoKeras)?
What is behavioral cloning vs DAgger?
What information is displayed on the axes of the learning curve?
How does increasing the number of hypotheses tested affect the Type I error?
When is the MSE of a model equal to the variance of the target?
Age prediction task — which models can implement extrapolation?