Open sanjarcode opened 2 years ago
This has really changed my world view Prioritising is not a compromise just because resources are low. Prioritising is important because structure of many systems is inherently non-uniform in terms of relevance.
Add to PVS
Prioritisation and abstraction play well together, so they'll boost efficiency, if applicable. Nice.
As a side note, this is why machine learning works. And why it is possible to come up with models, that learn (?).
What a coincidence... Knowledge trees are skewed in terms of their facets.
And a BFS scan is should be done before going deep in the tree, i.e. specialising (which I hate generally/innately, so I'm good 😃). Yes, going deep is also important, but not as much as understanding the fundamentals broadly.
Elon Musk's learning tree
https://youtu.be/NPCvFO7mxSA&t=4m25s
Understanding the important ideas - "it might be slower initially, but it's key in the long run".
After effects of having a tree of knowledge.