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AI by Hand ✍️
Machine learning engineers, AI researchers, and students seeking foundational technical understanding.
- Cadence
- Daily
- Latest
- 2026-10-05
- By
- Prof. Tom Yeh
- Based on
- 12 recent issues
- Covers: Math, algorithms, and neural network architectures worked out by hand and in Excel, including RNNs and language models.
- For: Machine learning engineers, AI researchers, and students seeking foundational technical understanding.
- Best for: Technical professionals who want to understand AI architecture mechanics from first principles.
- Skip if: Non-technical business executives looking for high-level AI strategy or market analysis.
Start with
- RNNs by Hand, in Excel: Explains foundational concepts behind recurrent neural networks for staying at the AI frontier.
- Seq2Seq: Demonstrates how sequence-to-sequence networks transform one input sequence into another.
- Small Language Model: Walks through an end-to-end small language model example with all components in place.
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Summarised by AI from 12 recent issues. Audience size is not included. Prices are not included. Report a mistake.