vault backup: 2025-10-28 17:01:24

stochastic-branch-takeoff.md

@@ -2,11 +2,12 @@
 id:
 aliases: []
 tags:
+  - authorship/original
   - destiny/fleeting
+  - status/incomplete
   - topic/construction/electrical
   - topic/estimating
   - type/idea
-  - authorship/original
 title: Stochastic Branch Takeoff
 ---
 # Stochastic Branch Takeoff
@@ -44,24 +45,4 @@ varies greatly with the aspect ratio of the space.
 Weighted by a probability distribution
 an average length and confidence could be given for any known area.
 
-I remember seeing a video on machine learning(?)
-that described a class of functions(?)
-used to change(?) a function with infinite range.
-Something like this:
-
-![[function-example.excalidraw.md]]
-
-$f'(x)$ is a **sigmoid** function.
-
-This is preferable to a floor-ceiling piece-wise function
-since it remains differentiable.
-
-Maybe suckerpinch's latest video on the Rupert property
-or 3blue1brown's on Euler's Formula.
-
-Actually I think its neither of those,
-but a more general ML video by another creator
-that used mango cultivar classification by dimensions
-as an example.
-
-
+[[sigmoid-functions]]