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Commit Graph

Author	SHA1	Message	Date
Elijah Voigt	79c21df6a0	docs(edu): write markov §3 transition probabilities and matrices [44ebe7] Replaces the stub with full lesson content: - Defines the transition matrix P[i][j] and stochastic matrix constraints - Derives multi-step probabilities via π_k = π₀ · P^k - Works through the 2-state weather chain by hand (1- and 2-step calculations) - Bridges to §9 stationary distributions	3 months ago
Elijah Voigt	36bf848b63	docs(edu): write markov §6 text generation lesson [92a829] - Words as states paragraph - Bigrams and transition tables explanation - Worked bigram example with two-sentence corpus and transition table - Why generated text sounds locally plausible but globally incoherent - Order-n chains and the coherence/novelty tradeoff Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	3 months ago

Author

SHA1

Message

Date

Elijah Voigt

79c21df6a0

docs(edu): write markov §3 transition probabilities and matrices [44ebe7]

Replaces the stub with full lesson content:
- Defines the transition matrix P[i][j] and stochastic matrix constraints
- Derives multi-step probabilities via π_k = π₀ · P^k
- Works through the 2-state weather chain by hand (1- and 2-step calculations)
- Bridges to §9 stationary distributions

Elijah Voigt

36bf848b63

docs(edu): write markov §6 text generation lesson [92a829]

- Words as states paragraph
- Bigrams and transition tables explanation
- Worked bigram example with two-sentence corpus and transition table
- Why generated text sounds locally plausible but globally incoherent
- Order-n chains and the coherence/novelty tradeoff

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2 Commits (79c21df6a00f053953e59ede8b85a6ebb14f6610)