My name is Ruslan Senatorov, and in 2025 I developed a new learning system for Data Science. Instead of the traditional “top-down through theory” approach, we start with ready-made solutions in scikit-learn and analyze them “from the inside” to understand the principles behind them and the mathematics they are based on, from absolute zero. This significantly reduces the learning time.

A revolution in ML: from a “black box” to a complete understanding of the mathematics of machine learning through reverse engineering ML models. Deriving all formulas from scratch + Python.

- Instructor and Head of a Data Science school, author and methodologist of ML courses, ML researcher, mathematics popularizer, former developer.

- The first person in the world to create a series of courses on the mathematical justification of basic solvers in sklearn using linear regression (MSE) as an example.

- Author of a popular YouTube channel SenatorovAI about mathematics for Data Science with more than 6K subscribers.