15 karma · joined July 19, 2023
>Engineering mode shuns uncertainty, because uncertainty may involve risk that corresponds to bad surprises. Discovery mode thrives under uncertainty, especially when a rare but beneficial result leads to finding something new, or a reduction of uncertainty in the face of making strategic decisions.
In summary, to understand the distinctions of Discovery and Engineering modes, one needs to have an appreciation for variation and the underlying distribution of outcomes expected while operating in each mode respectively. Without understanding the asymmetry in their outcome distributions, it would be difficult to convey how these work modes are different.
[1] https://jabustyermancom.wordpress.com/tag/discovery-vs-engin...
Oh hey, I didn't see you there. Welcome to earth.
Yes it does.
Traditional stats
Very fast iteration for data exploration in REPL (vs code or R studio).
Prefer pipeline workflows (Tidyverse/maggrittr).
Prefer functional
Prefer array based.
Prefer 1-indexed arrays (yes there are some of us).
Worst. Generation. Ever.
~disgruntled X
Likely there is a tension between over- and under-fitting, with behavioral and evolutionary tuning always in flux as conditions change.
And...
How do you connect with employers, employees, look up companies, jobs, etc.?
...fair's fair in supply and demand. Oh, NY times, never mind.
Hack those numbers.
22 year old long con.
Introduction to spectrum, freq allocation (bands) and modes.