Machine Learning Engineer. Worked on both industrial and academic projects for startup companies, tech giants, and public sector institutions on a wide range of topics,from natural language processing to speech recognition.
Machine Learning models are great and powerful. In this article, we will revisit a regular optimization problem using an example of a binary classification. We will show a way to create more robust and stable models that use features that are more meaningful to humans.