I used to be insulted when I met with a consultant/advisor who had an exorbitant rate—so I'd try to find someone cheaper.
I came to realize that there are four price levels for consultants and you should calibrate your expectations as follows:
A. Cheapest: Random guy in Kazakhstan who you find on Upwork. The instructions you have to provide will be so prescriptive that you are basically writing code, but the work will be completed to spec (if you are certain what the spec should be—which is rarely the case).
B. Middle: They signal that they can work without supervision but there's a 50-50 chance the project fails.
C. Top 10%: Same risk profile as the Middle. You're getting scammed.
D. Top 1%: They will save your team 6 months of work and have a reasonable likelihood of growing your company by an order of magnitude.
@markfetherolf I love this idea! Unfortunately the regular pipe character is used inside some text fields and quoted strings cause other issues. We have tried replacing pipes in the output data with slashes and then using pipe as delimiter. But the recipient wants broken pipe as their standard.
Trying to load a Unicode file delimited w/ broken vertical bar ¦ and it fails with most methods.
#SqlServer Import Flat File wizard works like a charm but Import Data adds funky characters on import.
#AzureDataFactory previews data fine but skips file. Regular pipe | no problems.
@fchollet All good points. But one thing can’t help but notice is how frequently we have had to raise the bar recently. Did we perhaps naively accept the Turing test as the threshold and didn’t give much thought to a better formal definition. Everything FC said is right but bad optics.
I sometimes hear the argument "this new AI system intuitively feels like it possesses some basic intelligence, so it must be intelligent in the human sense"...
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@tlipcon Random forest or some kind of boosted tree; look at feature importance; eliminate least important features; repeat. Evaluate on RMSE or your fav
Data science-y question: let's say I have a few thousand rows of data, each row containing a few independent variables and one or more dependent variables. I want to interactively explore to understand trends of how each independent variable effects the dependent one. Best tool?
Empathy is good. Calls for unity are good. But let's stop pretending that the "two sides" are symmetrical and morally equivalent. Stop saying, "oh, you think X is bad, but the other side just thinks the same about you".
Along every dimension, the picture is incredibly lopsided.