AI Agents are being widely adopted across industries, but how many agents are needed for an Agentic AI system? The answer can be 1 or more. What really matters is that we pick the right number of Agents for the task at hand. Here, we will try to look at the cases where we can […]
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Why Human-Centered Data Analytics Matters More Than Ever
From optimizing metrics to designing meaning: putting people back into data-driven decisions
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How structured knowledge became healthcare’s quiet advantage
The post What Is a Knowledge Graph — and Why It Matters appeared first on Towards Data Science.
A history of Transformer artifacts and the latest research on how to fix them
The post Glitches in the Attention Matrix appeared first on Towards Data Science.
Why Your ML Model Works in Training But Fails in Production
Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect.
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Prompt engineering isn’t about creating elaborate prompts. It’s about developing the judgment to choose the right structure, logic, and level of control for a given task. This article gives you 40 scenario-based questions and answers that reflect real decisions you make when working with LLMs in pro...
Getting Started with XGBoost: A Beginner-Friendly Tutorial
Among all the tools that a data scientist has, it is difficult to find one that has received a reputation as an effective and trustworthy tool like XGBoost. It was even mentioned in the winning solution of machine learning competitions on a site such as Kaggle, which you have probably visited. This ...
How to Integrate Universal Commerce Protocol (UCP) with AI Agents?
Agentic browsing is quickly becoming mainstream. People don’t just want AI agents to research products anymore. They want agents to actually buy things for them: compare options, place orders, handle payments, and complete the entire transaction. That’s where things started to break. Today’s commerc...
We Tried 5 Missing Data Imputation Methods: The Simplest Method Won (Sort Of)
We tested five imputation methods with proper cross-validation and statistical testing. Mean imputation won for prediction but destroyed feature relationships.
This tutorial will guide you through the complete process of self-hosting n8n on Docker in just 5 simple steps, with detailed explanations and code samples, regardless of your technical background.
What is Model Collapse? Examples, Causes and Fixes
AI systems feel smarter than ever. They answer quickly, confidently, and with polish. But beneath that surface, something subtle is going wrong. Outputs are getting safer. Ideas are getting narrower. Surprise is disappearing – less aweful. This matters because AI is increasingly involved in how we ...
Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily popularized in the field of natural language processing (NLP).
How to Leverage Slash Commands to Code Effectively
Learn how I utilize slash commands to be a more efficient engineer
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AI is taking over the world. If you don’t agree to this, you need to have a look at the latest technologies presented at one of the biggest annual technology events – the CES 2026. Consumer Electronics Show, which takes place in Las Vegas, US, every year, brings forward the best of technologies bein...
Data Science Spotlight: Selected Problems from Advent of Code 2025
Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases
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Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer
Forget stiff lines and wild polynomials. Discover why Splines are the "Goldilocks" of feature engineering, offering the perfect balance of flexibility and discipline for non-linear data using Scikit-Learn’s SplineTransformer.
The post Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransf...