Non-Brand Data
Cornellius Yudha Wijaya, Josep FerrerNon-Brand Data helps data professionals build practical judgment in ML, GenAI, and analytics through structured essays, field guides, templates, and applied workflows.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 356 | Founded | 6 years ago | Last Issue | 9 days ago |
| Active | |||||
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nb-data.comLatest Issues
Manager Memo: Does Your Team Still Need SQL when AI writes it?
For managers evaluating AI-assisted analytics and data-team operating models
The short answer
Building a Minimal Agent Harness in Python
An agent harness is the code around that agent. It starts the work. It waits for the answer and handles failure but the harness does not decide what the answer should be.
Imagine that your application asks an agent to summarize a document...
Why Valid SQL Returns Wrong Numbers
A query that runs is not necessarily right. Running means the database understood you, nothing more. The syntax can be clean, and the number can still be wrong.
I have reviewed a lot of SQL, and most wrong numbers come from three places:...
My book is out: Python Data Analysis, Fourth Edition
Python Data Analysis, Fourth Edition, which I wrote with my co-author, is out today. You can get it here:
Book Link
Before I describe what’s in it, I want to write down what the year of working on it was like.
The work
My co-author...
Fix it or throw it away: deciding what to do with an AI output
An AI tool writes a summary of last quarter’s sales. Most numbers match the source data, but one sentence says a marketing campaign “drove” the revenue lift, and nothing supports that. Fixing it takes thirty seconds: soften the wording or c...
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Sharing Data Knowledge to improve your values
Outstand using data -- Data Science, Design and Tech Tech Writer @KDnuggets @DataCamp \ud83d\udc49\ud83c\udffbInquiries in [email protected]
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