Those who are not new to my website, probably will remember my article from several months ago when I experimented with Microsoft MLFlow. If not, I highly recommend you to start from there, where I have explained the MLOps concept in detail. As this topic is definitely not losing onRead More →

If you have ever tried to Google something like “What skills are necessary for a career in data science?”, you have probably been presented an extensive list of skills like statistics, mathematics, software development, machine learning, deep learning and many more. Each of those areas are disciplines in itself whichRead More →

Introduction Have you ever heard about the 34 CliftonStrengths Themes or Gallup Test? In short, the whole idea is about the fact that although people can learn skills, develop their knowledge and gain experiance, they can’t acquire talent. It’s innate. Each of us is unique and trying to achieve anythingRead More →

The story of a girl making AI topics accessible There was a girl taking part in the recruitment process. She has become interested in the company after one of conferences. Recruiters checked her coding skills and machine learning knowledge. When asked about the details of the construction of languages, sheRead More →

Have you ever experienced the feeling of “clicking” with someone? Not in a romantic sense, but in general. The longer I work, the more I try to understand certain patterns, observe people and capture elements that logically connect as a whole. There are many factors that go into being happyRead More →