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Non-Brand Data

nb-data.com

Non-Brand Data, “Cornellius Yudha Wijaya”, is a tech site on nb-data.com, in English, funded by its readers through Substack; no supporter count is published.

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Latest posts

From the site's feed, read 2026-10-12.

Pages

139 pages indexed; the pages that lead the site by its internal links:

Evaluating RAG with LLM-as-a-Judge: A Guide to Production Monitoring
https://nb-data.com/p/evaluating-rag-with-llm-as-a-judge
What Is Jev AI and How Can We Use It for Data Science?
https://nb-data.com/p/what-is-jev-ai-and-how-can-we-use
9 Chunking Strategies to Improve RAG Performance
https://nb-data.com/p/9-chunking-strategis-to-improve-rag?open=false
Deep Dive Into Error Bar Visualization
https://nb-data.com/p/deep-dive-into-error-bar-visualization?utm_source=substack&utm_medium=email&utm_content=share&action=share
Breaking into Data Science: The Recap
https://nb-data.com/p/breaking-into-data-science-the-recap-5b451c82048d
RAG Reranking To Elevate Retrieval Results
https://nb-data.com/p/rag-reranking-to-elevate-retrieval?open=false
What it takes to be correlated - by Cornellius Yudha Wijaya
https://nb-data.com/p/what-it-takes-to-be-correlated-ce41ad0d8d7f
Measurement of Social Bias Fairness Metrics in NLP Models
https://nb-data.com/p/measurement-of-social-bias-fairness?utm_source=substack&utm_medium=email&utm_content=share&action=share
5 Must-Know Dimensionality Reduction Techniques via Prince
https://nb-data.com/p/5-must-know-dimensionality-reduction-techniques-via-prince-e6ffb27e55d1
Context Engineering for Data Science
https://nb-data.com/p/context-engineering-for-data-science
12 Free Tools That Automate the Boring Parts of Data Work
https://nb-data.com/p/12-free-tools-that-automate-the-boring
3 Things I Learned Testing One Market Data API Across 9 Markets
https://nb-data.com/p/3-things-i-learned-testing-one-market

Standing

category techlang enrank 42999 of 94641paying not publishedrevenue / yr not publishedno supporter count: the floor weight

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Neighbourhood

Linked from 36 domains, links to 301; of the latter, the funded sites are shown. Funded sites first, then the sources that link to fewest other funded sites. Links as seen in the Common Crawl domain graph (cc-main-2026-aug-sep-oct), cut 2026-10-23: the pages crawled in a window of three months, not necessarily the site of today, and a page not crawled in that window leaves no link.

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