How do you determine if a model is underfitted or overfitted?
Machine Learning / AI
What is MRR and where is it used?
What is a p-value?
What is CUTLASS?
What hypotheses exist in hypothesis testing?
What is DoRA and how does it differ from LoRA?
What is linear regression?
What is ShuffleNet and why is channel shuffle used there?
What is the difference between linear and logistic regression?
What is feature engineering for time series (lags, rolling stats, datetime features)?
How to calculate the probability of disease given a positive test considering sensitivity and specificity?
How to check the quality of new features and hypotheses in risk models and what metrics to use?
What is test-time augmentation (TTA)?
How to handle tool call errors in the agent (retry, fallback)?
What is FlashAttention from the perspective of kernel programming?
What is Tversky loss?
What are the types of regularization and how do they work?
What distributions exist and where are they applied?
What are the algorithms for dimensionality reduction?