What is the difference between linear and logistic regression?
Machine Learning / AI
What data structure underlies the dict in Python? How are collisions resolved?
What criteria would you use to evaluate the effectiveness of a recommendation system that takes tasks from a database or generates them via LLM?
What are the disadvantages of columnar databases?
Why do modules in Python create __init__.py files?
What do you like to read? Maybe authors, blogs?
What metrics did you obtain from the real estate valuation model and how did you monetize it?
Why do transformers have multiple attention heads? What do they learn in practice?
What feature selection methods exist?
What problems arise when training logistic regression if the number of features exceeds the number of observations?
What is the difference between on-policy and off-policy algorithms?
What is a receptive field?
Why is quantization of models necessary before deployment?
How to scale a model?
What is depthwise separable convolution and where is it used (MobileNet)?
What is RankNet and its loss?
Write a Python program: create a 1000x1000 matrix, fill rows with Fibonacci sequence, square the elements of the secondary diagonal. Time: 2 minutes.
How to describe the architecture of a random forest model with an added linear model for extrapolation?
How to speed up a query when joining two tables: rules and tips?