How can you make sense of the future when you only have data about the past?
Clayton ChristensenRead
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142 quotes
How can you make sense of the future when you only have data about the past?
Machine learning is looking for patterns in data. If you start with racist data, you will end up with even more racist models. This is a real problem.
No matter how invasive the technologies at their disposal, marketers and pollsters never come to terms with the living process through which people choose products or candidates; they are looking at what people just bought or thought, and making calculations based on that after-the-fact data.
Now is the time for Afro-realism: for sound policies based on honest data, aimed at delivering results.
I've seen how the issues that come across a president's desk are always the hard ones - the problems where no amount of data or numbers will get you to the right answer.
Some of the best theorizing comes after collecting data because then you become aware of another reality.
The fear isn't that big data discriminates. We already know that it does. It's that you don't know if you've been discriminated against.
Dataism is a new ethical system that says, yes, humans were special and important because up until now they were the most sophisticated data processing system in the universe, but this is no longer the case.
Fudging the data in any way whatsoever is quite literally a sin against the holy ghost of science. I'm not religious, but I put it that way because I feel so strongly. It's the one thing you do not ever do. You've got to have standards.
Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you'd be surprised how many people simply list everything they've ever done. _x000D_ Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.
My work shows how important it is that independent researchers should have access to data so that government statistics can be checked and so that the democratic debate within India can be informed by the different interpretations of different scholars.
Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Most of 'big data' is a fraud because it is really 'dumb data.'
Diverse perspectives lead to a better outcome. There's so much data, when you look at the math, in terms of the investor returns and the shareholder value that gets created from more diverse boards.
If there is no solace in the fruits of our research, there is at least some consolation in the research itself. Men and women are not content to comfort themselves with tales of gods and giants, or to confine their thoughts to the daily affairs of life; they also build telescopes and satellites and accelerators and sit at their desks for endless hours working out the meaning of the data they gather.
We live in a world in which data convey authority. But authority has a way of descending to certitude, and certitude begets hubris.
The real biographies of poets are like those of birds, almost identical - their data are in the way they sound. A poet's biography lies in his twists of language, in his meters, rhymes, and metaphors.
Opponents of civil liberties contend the NSA data collection has made our country more safe, but even the most vocal defenders of the program have failed to identify a single thwarted plot.
When asked if I am pessimistic or optimistic about the future, my answer is always the same: If you look at the science about what is happening on earth and aren’t pessimistic, you don’t understand data. But if you meet the people who are working to restore this earth and the lives of the poor, and you aren’t optimistic, you haven’t got a pulse.
When asked if I am pessimistic or optimistic about the future, my answer is always the same: If you look at the science about what is happening on Earth and aren't pessimistic, you don't understand the data.
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