Explained Visually personal blog
Markov Chains Explained Visually (2014)
Markov chains, named after Andrey Markov , are mathematical systems that hop from one "state" (a situation or set of values) to another. For example, if you made a Markov chain model of a baby's behavior, you might include "playing," "eating", "sleeping," and "crying" as states, which together with other behaviors…
- Points
- 779
- HN comments
- 138
- Submissions
- 3
- Cited by
- 6 commenters
Math & AlgorithmsAI & Machine Learning2018
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Aug 15, 2018 | Markov Chains Explained Visually (2014) by aogl | 779 | 68 |
| Mar 20, 2016 | Markov Chains Explained Visually (2014) by sonabinu | 419 | 44 |
| Feb 28, 2025 | Markov Chains Explained Visually (2014) by mrcgnc | 213 | 26 |
Cited in comments
Linked from 7 Hacker News comments by 6 different people, from Jan 2015 to Oct 2022.
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