What is A/B testing? How to apply it in the context of model comparison?
Machine Learning / AI
Why is the module function not suitable for gradient descent?
What is the maximum probability of drawing a white ball from a randomly selected basket?
Write the regularization formula (ElasticNet) and add it to the loss function.
Is overfitting related to bias or variance?
What is the algorithmic complexity of iteration and node deletion operations in linked lists?
How to train a model? Describe the weight update algorithm.
Why does L1 regularization zero out weights? Explain the mechanism.
What happens when multiplying very large numbers in Python?
Do you have any questions for us?
What is the probability of a correct answer with different class selection strategies in a tree leaf, and how to calculate it for arbitrary probabilities?
What is a confounder and how to account for it?
Tell us about yourself and your work experience.
What happens to the tails of lists after the main loop and how to process them?
How to understand when to stop training?
How to evaluate the quality of a model using ROC AUC and what do good and bad scores mean?
What will change in the query output if you replace INNER JOIN with LEFT JOIN?
What is ROC-AUC? How is the ROC curve constructed, what are the axes?
What kind of profiles of vacancies are you interested in?