Q1-26 has been an interesting time - How does yours stack up?
Seems so many…
There are good free/open datasets for fintech AI , but they are best used for learning, prototyping, research, benchmarking, and demos — not as a complete replacement for real bank, lender, or payment-company data.
The easiest way to think about it:
| Goal | Good data type |
|---|---|
| Fraud detection | Card transactions, bank transfers, synthetic fraud data |
| Credit… |
Those who have worked on a hobby operating system for x86 will have interacted with its rather complex and confusing interrupt model. [Evalyn] shows us why and how to use …read more
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