What is linear regression?
Machine Learning / AI
Will studying in a full-time master's program interfere?
In what format do you cooperate with [company] and [company]?
Are there any organizational or technical questions?
What is the difference between L1 and L2 regularization in linear models?
What checks should be made when choosing a learning rate for SFT LLM?
What is normalization and denormalization of databases?
What are the features of segmentation training on high-resolution images?
What are CUDA Graphs and where do they help?
What is a VAE-encoder in Stable Diffusion and what is it used for?
What is KG completion?
What practices are used when synchronizing training-serving features?
What is a relevant recommendation?
What parameters in a random forest can be changed and how do the depth and number of trees affect it?
What are the features of Parquet schemas and why is it efficient for ML?
Why must the eigenvalues be non-zero for the inverse matrix to exist?
How did you choose the threshold of 0.6?
What use cases do audio models have in production (assistant, content moderation)?
How do you measure bias and variance of a model?
How to assemble train/val/test split and benchmark? How to properly split the data?