In 2018, the author focused on understanding how machine learning algorithms and models function at a detailed level.
It is highlighted that even in machine learning engineer (MLE) interviews, questions about the functioning of specific algorithms like Xgboost are not commonly asked.
Data scientists are not expected to have an in-depth understanding of how machine learning models work. Their focus is on solving customer problems using data.
For those aiming to build production ML systems, the recommendation is to focus on studying data structures & algorithms and vanilla system design.