January 21, 2021 at 12:00 am
Comments posted to this topic are about the item Representative Data Challenges
January 21, 2021 at 6:23 am
I am currently going through "o'reilly data science from scratch python".
During the Naive Bayes explanation and implemention they mention exactly this.
In the book its called "smoothening" to prevent such things from happening due to incomplete training Data.
I want to be the very best
Like no one ever was
January 21, 2021 at 2:20 pm
Well, I'm very disappointed this morning in the slant of this. Just a couple days ago we had an article that proposed that we probably need to allow more 'failure' to promote learning and improving our product. Today, suddenly we have to throw up the 'diversity' challenge when there is a technology or software problem.
Oh, how I wish we could move past having to find the same old complaint of lack of diversity and get on with making things work better. I don't believe I EVER saw the development of a system that was totally right the first release.
Steve, not to pick on you, but to make my point, in the years I've been involved with this community and seen your photograph, I don't think I EVER had a thought regarding the tone of anyone's skin or their ethnicity. Now suddenly I will forever be aware of your skin tone.
Perfect example of the concept of 'self-fulfilling prophecy'. Should have left out the links to the diversity articles. Truth is that I don't give a sh!t what color your skin is. Please don't you all get mad at me for this.
Rick
Disaster Recovery = Backup ( Backup ( Your Backup ) )
January 21, 2021 at 2:47 pm
I have to second what Rick said. We all have two eyes, two ears, and a brain, all of which work similarly. No ethnicity is different enough that we cannot reproduce with each other. We are much more alike than different, and I am uncomfortable with unsupported assertions to the contrary.
January 21, 2021 at 3:04 pm
I have to second what Rick said. We all have two eyes, two ears, and a brain, all of which work similarly. No ethnicity is different enough that we cannot reproduce with each other. We are much more alike than different, and I am uncomfortable with unsupported assertions to the contrary.
George, thanks for the support. Years ago my dear first wife commented 'I don't care what's between your legs. Show me what's between your ears".
Rick
Disaster Recovery = Backup ( Backup ( Your Backup ) )
January 21, 2021 at 3:20 pm
At the end of the day it's an algorithm that fails to find the right answer, is it really a surprise that you can find common features in the failures? I think it's important to remember that machine learning algorithms are designed with an expected failure rate in mind, so we need to account for that when we design a process around them.
January 21, 2021 at 3:54 pm
Here's another thought on our common approach to creating algorithms. Error reporting has always been one of my pet peeves because so many times we are told that 'something happened', but not 'what happened'.
Just yesterday afternoon I was setting up a new phone, which is replacing my antique iPhone 4! The process was failing but the only information provided was "403 forbidden".
I think a great example of this is often portrayed in the dialog in scenes in surgical stories where the surgeons are always commenting 'Now I'm going to...'. For decades we have created software that attempts to tell us after something goes wrong. Why don't we create a rolling self-cleaning log of WHAT WE ARE GOING TO DO instead of WHAT WE DID. Then at least know the last thing that was attempted instead of having to guess what the algorithm tried to do that failed.
Rick
Disaster Recovery = Backup ( Backup ( Your Backup ) )
January 21, 2021 at 3:56 pm
We probably shouldn't discount Steve's experience. Much of the populations of the world where we need to provide uniformly working solutions is of different colors and shades, though designed and built to work on a singular group. I recall the joke about how the automatic towel dispenser didn't work for the guys from India because it only worked for Americans, aka the white guys coding at the bank. Turns out it was a design defect and offensive humor that harmed the team.
January 21, 2021 at 4:11 pm
We probably shouldn't discount Steve's experience. Much of the populations of the world where we need to provide uniformly working solutions is of different colors and shades, though designed and built to work on a singular group. I recall the joke about how the automatic towel dispenser didn't work for the guys from India because it only worked for Americans, aka the white guys coding at the bank. Turns out it was a design defect and offensive humor that harmed the team.
I'm not in any way discounting Steve's experience. In your example, the largest failure is in the joke, not the failure itself.
Rick
Disaster Recovery = Backup ( Backup ( Your Backup ) )
January 21, 2021 at 4:31 pm
You should reread your post, but if you don't see it now, you might never see it.
January 21, 2021 at 4:31 pm
Some interesting observations related to this discussion:
https://hsm.stackexchange.com/questions/12684/how-did-people-make-things-perfectly-straight
Rick
Disaster Recovery = Backup ( Backup ( Your Backup ) )
January 21, 2021 at 5:10 pm
I'm not in any way discounting Steve's experience. In your example, the largest failure is in the joke, not the failure itself.
I have to second Rick again. In your example, I blame bank management. If you cause a workplace disruption around me, I fix it immediately. If they had fired the loudmouth on the spot, that would have set things right very smartly. I sure as heck don't blame the towel dispenser engineers, engineers being notorious for designing bad user interfaces.
January 21, 2021 at 6:26 pm
I am intrigued by your choice of issue to discount. The topic was about design and implementation leaving out vast swaths of the population, which most will agree requires diverse input, and it was met with a stereotype of "I don't see color." I recounted an old joke about poor design and the damage it caused in a diverse environment. You assigned blame to an unknown "management" entity and excused poor design. I now regret contributing here, but the buzz on this morning's slack channel was intriguing.
January 21, 2021 at 6:32 pm
Nevermind, thanks for your comment.
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