Articles about Data Science, Machine Learning, artificial intelligence, and current news from the field.
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Antivirus and antimalware: a practical Windows recovery guide
A practical Windows malware-recovery workflow: Defender Offline, independent scanners, persistence checks, and the point at which to reinstall the operating system.
Upcoming Workshop: Agentic LLM Workflows
An upcoming hands-on workshop on agentic LLM use: GitHub Copilot, VS Code, and personal Gemini and Mistral API keys.
EPC from operational data
How an indicative EPC calculator can speed up decisions about an apartment, renovation, or investment, and how it is backed by a combination of software engineering, data science, and clear UX.
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Antivirus and antimalware: a practical Windows recovery guide
A practical Windows malware-recovery workflow: Defender Offline, independent scanners, persistence checks, and the point at which a clean installation is the right answer.
Read articleUpcoming Workshop: Agentic LLM Workflows
An upcoming hands-on workshop on agentic LLM use: GitHub Copilot, VS Code, and personal Gemini and Mistral API keys.
Read articleHello world!
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Read articlePrompting tiny LLMs: when structure helps and when it backfires
I tested small local language models on routing classification, including reference models outside the tiny category. The results show when structured prompting helps, and when plain text is better.
Read articlePENB Label Approximation – Part 5: Deployment, Limitations, and What’s Next
The final part of the series summarizes the deployment of the public application, report export, current solution limitations, and the most important next steps for the next version.
Read articlePENB Label Approximation – Part 4: Turning the Calculation into an App for Everyday Users
The fourth part of the series focuses on the UX layer: why a public app should guide users step by step, and how usability impacts both data quality and outcomes.
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