What is CUTLASS?
Machine Learning / AI
How do you measure bias and variance of a model?
What is target encoding and what are its problems (overfitting, leakage)?
How to decide on the loss function for a model from a business and data perspective?
What optimizations does Spark perform?
Why is it not enough to just calculate the median on each worker and then combine?
What loss functions and metrics are best to use when forecasting demand for perishable goods?
What is ConvNeXt and why did it catch up with ViT in quality?
What is global average pooling and why does it replace a fully-connected layer?
What is BERTScore and why is it better than BLEU for evaluation of generation?
How does boosting work and how is a boosting model built?
What are masked autoencoders (MAE) for CV?
What tasks does ML solve in agriculture (yield prediction)?
What is Dueling DQN?
What is the decomposition of time series into trend and seasonality?