What metrics are used to evaluate a new model when rolling out to a pilot group?
Machine Learning / AI
What is the difference between gradient boosting and random forest?
How is a list structured in Python and what is the time complexity of its main operations?
Is it possible to find the parameters of linear regression analytically, rather than by gradient descent?
What is slot filling and how is the task formulated?
Which role in the team is closer to you — ML/AI or engineering tasks?
What methods for combating overfitting exist and how do they work?
How do trees and linear regression predict for objects with features outside the training range?
What statistical tests should be used to assess the significance of differences between groups and how do they differ?
What to return when there is or is not an axis of symmetry?
How is long-term memory implemented in your project and how does the LLM use user preferences when scheduling meetings?
What classification metrics should be used in case of severe class imbalance?
What is the difference between RANK and DENSE_RANK?
Are strings in Python mutable or immutable?
What is the idea of a fully connected neural network and why does it work?
How to parallelize the execution of a function in Python?
Что будет, если вызвать max вместо idxmax для поиска максимального значения?
What is a Conditional Edge?