friday99

8 ms·

31.
by friday99 8y ago
Goodhart's law is entirely applicable to management (adding scientific in front doesn't actually mean anything). That is one of the prime areas of applicability. People change their behavior to increase a metric at the cost of d
32.
by friday99 8y ago
The obsession with measuring is hilarious. There are plenty of things in life (and jobs) that aren't measurable and are worth doing. Probably all of the important things are actually unmeasurable. Think about it this way, if its so
33.
by friday99 8y ago
Even in the first years, they suffer from the simple fact that you can't present something correct and useful in a small popular talk with no pre-requisite shared knowledge. Its "empty calories" that makes it feel like you l
34.
by friday99 8y ago
Are they? Do you have any evidence that lost/overbooked bookings are decreased on software-based booking systems?
35.
by friday99 8y ago
Do you have any source of people spending hours planning garbage pick-up routes and how that has changed with software?
36.
by friday99 8y ago
Analytics forecasting doesn't really seem like a good candidate for deep learning. There are plenty of established methods for forecasting that are simpler, more robust and generally more effective in terms of effort to reward.
37.
by friday99 8y ago
Ad revenue. You are the product not the customer, same in print as online ;)
38.
by friday99 8y ago
Note, "80 / 100 of these functions are never called. I'll just remove them from the program image to save load time and locality of reference" is already an optimization compilers apply: dead code elimination. https:&#x
39.
by friday99 8y ago
The other way to phrase that is "A data scientist is a worse programmer than a typical programmer and a worse statistician than a typical statistician." If you need a programmer, hire a programmer. If you need a statistician, hi
40.
by friday99 8y ago
I think the problem is in the idea that "you better have some human engineers around in case a tornado forms." That is a completely different job than the original job and the folks waiting around "in case a tornado forms&quo
41.
by friday99 8y ago
This is not a very good example of benchmarking. First, all of the benchmarks need to be run multiple times e.g. -count=5 at least to get reliable results. Second, benchmarking like this is really meant for analyzing a single operation.
42.
by friday99 9y ago
The string benchmark has the issue that the amount of work done varies with each pass through the loop since the string just keeps getting appended to. A proper benchmark like the ones in the comments here do the same amount of work for ev
43.
by friday99 9y ago
Those "other revenues" only account for about 13% of Google's revenue. So its a fair comparison. Google is almost 90% an advertising company. https://abc.xyz/investor/pdf/2017Q4_alphabet_earnings_r
44.
by friday99 9y ago
It deals with floating-point, arbitrary-precision decimal numbers, whereas math/big contains support for arbitrary-precision integers, rationals and binary floating point. Looking at it briefly, it looks like it uses math/big und