
Non-Brand Data provides expert tips on Machine Learning, Technology News, and Python Packages to help you excel and stand out in your data career.
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 347 | Founded | 6 years ago | Last Issue | 5 days ago |
| Active | |||||

Photo by Yorgos Ntrahas on Unsplash
AI agents are becoming more useful for financial research, but they are only as reliable as the data they can access.
A model can summarize earnings, compare stocks, or assist in market monitoring. But...
GenAI has made output generation cheap.
A decent prompt can already produce summaries, classifications, SQL explanations, insight drafts, documentation, and stakeholder-facing text.
The harder part is deciding:
A lot of data professionals are trying to decide what to learn next.
That is understandable.
The field feels crowded now. There is classical machine learning. Deep learning. Generative AI. RAG. Agents. Evaluation. MLOps. Analytics enginee...
Image by Ideogram.ai
"Real SQL work taught me that trustworthy definitions matter more than flashy queries."
Early in my career, I did not see SQL as central to being a data scientist. Most of my...
Photo by Nicholas Cappello on Unsplash
The stock market data API landscape is changing. In the past, developers mostly evaluated providers on familiar dimensions: coverage, latency, pricing, documentation, and reliability. Those criteria s...
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The writers behind this newsletter.
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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