Latest publications
Billions of Parameters: How We Measure Intelligence in Numbers
Each time a major AI release happens in the industry, the first question in the comments sounds the same: "How many parameters does it have?" This has become a kind of measure of sophistication,…
Code in Your Pocket: Five Android Apps for Those Who Forgot Their Laptop
For a long time, the idea of writing code on a smartphone was perceived in the community as an elaborate form of digital self-torture.
Secrets in Code: Seven Ways to Stop Embarrassing Yourself on GitHub
Picture a typical evening for a developer: you've finished an awesome pet project, quickly pushed it to GitHub, and went to sleep.
Scikit-learn: 7 Tricks for Those Tired of Waiting Forever
Hyperparameter tuning is the very activity that transforms a data scientist from an architect of the future into a bored washing machine operator.
Hugging Face Spaces: How to Stop Paying for Your Portfolio Hosting
Let's be honest: most ML developer portfolios on GitHub look like code graveyards. You spend weeks training a model, write clean code, format the repository properly, but when it comes time to…
Data Teams: Why Number of Neural Networks No Longer Matters
The era of "flag waving," when companies could simply claim to have neural networks on staff, has officially come to an end.
The Multimodal Shift: How AI Stopped Being Blind and Why It Matters
A couple of years ago, we marveled at the fact that neural networks could draft a well-written letter or write code.
Data Under Lock: Three Ways to Save ML Pipelines from Leaks
Imagine you're building a supersonic aircraft, but you have to fuel it with fuel that can explode from any careless movement.
Feature Engineering on Steroids: Seven Python Libraries You're Wrongly Ignoring
Data Science is 80% data cleaning and 20% complaining about how much time data cleaning takes. We're all accustomed to the standard stack, where Pandas and Scikit-learn seem eternal and indispensable.
ComfyUI for Everyone: How to Stop Being Afraid of Nodes and Take Full Control of Stable Diffusion
Remember that strange feeling when you first opened Photoshop after using simple Paint? Modern users experience roughly the same sensations when switching from the classic Stable Diffusion interface…
Python and time: five functions so your code stops breaking on Mondays
If you've ever tried to feed neural networks data collected from different sources, you know: time is the most insidious data type.
Breakthrough Graph Neural Networks: What to Expect in 2026
Graph Neural Networks (GNN) – a powerful tool for analyzing and modeling complex relationships in data.
Open Notebook: A True Open-Source Alternative to Private NotebookLM?
In a world where data privacy is becoming increasingly important, the emergence of Open Notebook has generated significant interest.
5 Alternatives to Google Colab for Long-Term Tasks: Choosing the Best
Google Colab has become a starting point for many specialists in machine learning and data analysis, offering free access to computing resources.
AI Startups: Transition from Infrastructure to Applications
In recent years, artificial intelligence has ceased to be merely a technological trend, transforming into a powerful force reshaping all aspects of our lives and business.
7 Statistical Concepts for Confident Data Scientist Work
In the world of big data, where information flows abundantly, the ability to extract valuable knowledge becomes critically important. And in this process, statistics plays the role of a foundation.