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Rick and Morty’s Thanksploitation Deciduous Decision Tree (swagitda.com)
96 points by oarsinsync on Aug 19, 2021 | hide | past | favorite | 15 comments


Requisite snippet: https://youtu.be/kHUSGynWuVk


Too bad they had to edit out half of the explanations. Presumably to avoid copyright.


Many of these episodes are brilliant!


this episoide sounds like it could be similar to the "Heist-Con" episoide, which was realy good with messing with your head == fantastic


Heist episode and Citadel of Ricks episode are my favorites. I quote the bit about getting a Netflix show (“it’s a very achievable goal”) quite often.


This was the only episode lately that I thought was good... In the current season it feels like they're struggling for content.


"Deciduous" is the same as graphviz?


Off-topic, but another option for visualizing networks is Graphia. It's a qt5 program that can use the GPU to display pretty large graphs in 3D.

https://github.com/graphia-app/graphia

https://graphia.app


I chose to believe (but cannot be bothered to actually check) that yes, probably, but with nicer "packaging"


does this need a spoiler alert flag?


right above his graphic:

> (warning: spoilers for the first ~8 minutes of the episode are ahead)


thanks - i didn't click on the link to check


How is that diagram a decision tree?

Decision tree should be a tree with decision, change and end nodes.

https://en.wikipedia.org/wiki/Decision_tree


Notice that at the top of the article you linked it says:

> This article is about decision trees in decision analysis. For the use of the term in machine learning, see Decision tree learning.

That does not mean that there are no other definitions in addition to these two, for example the one used in game theory is here:

https://en.wikipedia.org/wiki/Game_tree

> Any subtree that can be used to solve the game is known as a decision tree


That's why I am asking.

It's not even tree. It seems to be just a DAG without decisions.

There is no clear or intuitive way to interpret this as decision tree in decision analysis, machine learning any other context.




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