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AI Foundations

Neural Networks Explained

Enough depth to supervise AI without becoming a data scientist

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You don’t need the math. You need the intuition: these systems are strong on messy inputs (receipts, invoices, emails) and weak when the answer has to be exact and accountable.

Full lesson is on the way β€” written for accountants, not tech hype. Check back soon, or browse the rest of the AI pillar meanwhile.

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AI Limitations & Hallucinations