Big Data Problems: Crash Course Statistics #39
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Date: 2022-04-04
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Comments and reviews: 9
Mathematical
I would say that using an algorithm as black-box is extremely problematic. 5: 00. I constantly see people throwing a dozen algorithms at a problem before stepping back to think about the problem they are trying to solve first.
Study MATH instead of Stats or CS and you'll be better equipped to assess what's happening between input and output.
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I would say that using an algorithm as black-box is extremely problematic. 5: 00. I constantly see people throwing a dozen algorithms at a problem before stepping back to think about the problem they are trying to solve first.
Study MATH instead of Stats or CS and you'll be better equipped to assess what's happening between input and output.
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avi12
0: 25 Well, depends on the algorithm maker, really
Some developers are more experienced than others
Some developers are more creative than others in their solution-solving ability
So really, there is no -perfect- algorithm, only -what algorithm will best manage this set of data-
And I'm talking as a software developer myself
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0: 25 Well, depends on the algorithm maker, really
Some developers are more experienced than others
Some developers are more creative than others in their solution-solving ability
So really, there is no -perfect- algorithm, only -what algorithm will best manage this set of data-
And I'm talking as a software developer myself
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Mustafa
I am so sorry Adriene Hill. I might seem a little ungrateful but your enthusiasm on the Economics crash course was so contagious. It really made me interested in Economics and made the videos so much fun. Really loved them! These are great as well!
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I am so sorry Adriene Hill. I might seem a little ungrateful but your enthusiasm on the Economics crash course was so contagious. It really made me interested in Economics and made the videos so much fun. Really loved them! These are great as well!
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Skeptaculus
Generalizations is what is expected from big data, so just because you don't agree with what the algorithm says doesn't mean that it is wrong. The algorithm might spew politically wrong results but statistically, it is right.
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Generalizations is what is expected from big data, so just because you don't agree with what the algorithm says doesn't mean that it is wrong. The algorithm might spew politically wrong results but statistically, it is right.
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brucewilson77
I noticed some slippery speech here. Was compass wrong about different races offending at different rates? It wasn't clear if compass was 200% actual rates or if black defendants actually were offending at twice the rate.
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I noticed some slippery speech here. Was compass wrong about different races offending at different rates? It wasn't clear if compass was 200% actual rates or if black defendants actually were offending at twice the rate.
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Shayne
One of the biggest issues in big data is outsourcing algorithms, which gives companies plausible deniability when the program does something that could be considered unfair with the data.
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One of the biggest issues in big data is outsourcing algorithms, which gives companies plausible deniability when the program does something that could be considered unfair with the data.
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Mia
You guys are really helping me understanding different subjects for my media-exam. Will defiantly use your videos for my other subjects as well. Thank you!
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You guys are really helping me understanding different subjects for my media-exam. Will defiantly use your videos for my other subjects as well. Thank you!
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ResortDog
A lot of us have never stopped looking at the total disregard for privacy since they created all this. You are only as silly as your leash.
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A lot of us have never stopped looking at the total disregard for privacy since they created all this. You are only as silly as your leash.
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Aro-En
I didn't know how much I needed to here this until right now. thank you so much. It'll definitely give my research more meat
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I didn't know how much I needed to here this until right now. thank you so much. It'll definitely give my research more meat
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