Markov Chains

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 could form a 'state space': a list of all possible states. In addition, on top of the

[ma_ko]

短いコードで出来るんだなぁ "http://setosa.io/markov/no-controls-with-hash.html#%7B%22tm%22%3A%5B%5B0.5%2C0.5%5D%2C%5B0.5%2C0.5%5D%5D%7D"

[Nyoho]

:+1:

[tmatsuu]

マルコフ連鎖を可視化。コミカルに動いて楽しい。

[mainyaa]

マルコフ連鎖をアニメーションで表現

[deeeet]

マルコフ連鎖を視覚的に説明，実世界の例が分かりやすい

[TYK]

マルコフ連鎖の視覚的な説明