Which algorithm complexity depends on n or k and what does it depend on?
Machine Learning / AI
Which metric is more important: precision or recall depending on the task?
Move zeros to the end of the array, preserving the order of the other elements [1, 0, 8, 9] -> [1, 8, 9, 0] def move_zeros(nums: list[int]): pass
What is self-ask prompting?
What pitfalls can occur when normalizing data to solve the extrapolation problem in a random forest?
What is MRR and where is it used?
How to account for cases with zeros in the product of list elements?
What parameters in a random forest can be changed and how do the depth and number of trees affect it?
Are there any organizational or technical questions?
What is CBAM (Convolutional Block Attention Module)?
How to understand whether a model is good or bad? What metrics exist and what do they mean?
What are the existing classification quality metrics?
Why is gradient boosting more commonly used in industrial environments than random forests?
How do you compare the quality of different embedding models? What is MTEB?
What is the problem with a solution involving nested loops of O(n^2)?
How do you handle an empty input list?
Why use lists to store previous values?