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Learning Curves
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Mar 14, 2019 11:40:47   #
John_F Loc: Minneapolis, MN
 
Taking the derivative, dy/dx where y=result and x=effort. The steeper central region has more result for less effort, so less work to achieve more. Do any readers who have done film photography recognise the curve of film opacity vs light flux where the central region would be virtually straight. The steeper that region the faster the film.

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Mar 14, 2019 14:47:08   #
whatdat Loc: Del Valle, Tx.
 
Huh???

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Mar 14, 2019 14:59:08   #
Dannj
 
whatdat wrote:
Huh???


🤪

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Mar 14, 2019 19:02:48   #
rocar7 Loc: Alton, England
 
But this is a learning curve, which is different. The x axis is knowledge, or how much you have learnt, and the y axis is time, or how long it takes to learn that amount of knowledge.

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Mar 14, 2019 19:54:45   #
DWU2 Loc: Phoenix Arizona area
 
rocar7 wrote:
But this is a learning curve, which is different. The x axis is knowledge, or how much you have learnt, and the y axis is time, or how long it takes to learn that amount of knowledge.


Actually, the x-axis, at least as portrayed in the graph, is trials, and the y-axis is performance.

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Mar 14, 2019 19:59:44   #
Hal81 Loc: Bucks County, Pa.
 
Why I was so bright my mother called me Sun. And in school they even gave me a pointy hat and let me sit in the front of the class.

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Mar 14, 2019 20:12:53   #
Dannj
 
If “Learning Curve” is the term we apply to acquiring a particular body of knowledge or technique, is there a generally accepted term for what happens once we’ve reached the peak. That, unfortunately, is where I seem to have arrived. Am I now on the “Un-learning Curve”? If so, the slope is much steeper and, dare I say, severely more slippery (slipperier?!?!). Aaaaaggghhhh🤪

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Mar 14, 2019 22:33:43   #
burkphoto Loc: High Point, NC
 
DWU2 wrote:
Just a trivial pet peeve - I often see UHH'ers refer to a software product as having a "steep learning curve," implying that it was hard to learn. That's understandable, since a steep trail is hard to walk. But actually, a product would have a steep learning curve if it were easy to learn! That's because a learning curve plots the number of trials or attempts or practice time on the X axis, and performance or proficiency on the Y axis. If something is easy to learn, you master it in a short time, so your learning curve shows a steep grade. If you can't learn something, your performance stays flat, and so does your learning curve. See the accompanying example of a learning curve.
Just a trivial pet peeve - I often see UHH'ers ref... (show quote)


Please understand that “steep learning curve” is merely a colloquialism derived from the idea that a steep hill can be difficult to climb. The hill is curved at the bottom and top. So...

Colloquial phrases seldom make literal or precise sense to a certain segment of the population who gauge everything against a measure of precise language or pure mathematical logic. Colloquial phrases annoy them to no end (sigh), because they are caught in traps of literalism.

This is why, for example, it took an acid head like Steve Jobs to lead teams of engineers to build Macs and iPhones... He was able to think unconventionally and crazily enough to connect and relate disparate technologies into practical, new, and easily accessible forms. (Then, of course, the copycats moved in...)

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