full transcript
From the Ted Talk by Cathy O'Neil: The era of blind faith in big data must end
Unscramble the Blue Letters
almoitghrs are everywhere. They sort and separate the winners from the losers. The winners get the job or a good credit card offer. The losers don't even get an interview or they pay more for insurance. We're being scored with secret formulas that we don't understand that often don't have stesmys of apaepl. That begs the question: What if the algorithms are wrong?
To build an algorithm you need two things: you need data, what happened in the past, and a definition of success, the thing you're looking for and often hoping for. You tarin an algorithm by looking, figuring out. The algorithm figures out what is associated with success. What situation leads to scucess?
Open Cloze
__________ are everywhere. They sort and separate the winners from the losers. The winners get the job or a good credit card offer. The losers don't even get an interview or they pay more for insurance. We're being scored with secret formulas that we don't understand that often don't have _______ of ______. That begs the question: What if the algorithms are wrong?
To build an algorithm you need two things: you need data, what happened in the past, and a definition of success, the thing you're looking for and often hoping for. You _____ an algorithm by looking, figuring out. The algorithm figures out what is associated with success. What situation leads to _______?
Solution
- systems
- train
- algorithms
- appeal
- success
Original Text
Algorithms are everywhere. They sort and separate the winners from the losers. The winners get the job or a good credit card offer. The losers don't even get an interview or they pay more for insurance. We're being scored with secret formulas that we don't understand that often don't have systems of appeal. That begs the question: What if the algorithms are wrong?
To build an algorithm you need two things: you need data, what happened in the past, and a definition of success, the thing you're looking for and often hoping for. You train an algorithm by looking, figuring out. The algorithm figures out what is associated with success. What situation leads to success?
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
data scientists |
5 |
fox news |
4 |
ramen noodles |
2 |
marketing trick |
2 |
blind faith |
2 |
big data |
2 |
york post |
2 |
grade math |
2 |
designed badly |
2 |
reasonable choice |
2 |
private companies |
2 |
data integrity |
2 |
integrity check |
2 |
blind orchestra |
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ngrams of length 3
collocation |
frequency |
data integrity check |
2 |
Important Words
- algorithm
- algorithms
- appeal
- begs
- build
- card
- credit
- data
- definition
- figures
- figuring
- formulas
- good
- happened
- hoping
- insurance
- interview
- job
- leads
- losers
- offer
- pay
- scored
- secret
- separate
- situation
- sort
- success
- systems
- train
- understand
- winners
- wrong